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signal processing</title> <meta name="description" content="Search results for: digital signal processing"> <meta name="keywords" content="digital signal processing"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="digital signal processing"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7438</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: digital signal processing</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7438</span> Development of a Tesla Music Coil from Signal Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samaniego%20Campoverde%20Jos%C3%A9%20Enrique">Samaniego Campoverde José Enrique</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosero%20Mu%C3%B1oz%20Jorge%20Enrique"> Rosero Muñoz Jorge Enrique</a>, <a href="https://publications.waset.org/abstracts/search?q=Luzcando%20Narea%20Lorena%20Elizabeth"> Luzcando Narea Lorena Elizabeth</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a practical and theoretical model for the operation of the Tesla coil using digital signal processing. The research is based on the analysis of ten scientific papers exploring the development and operation of the Tesla coil. Starting from the Testa coil, several modifications were carried out on the Tesla coil, with the aim of amplifying the digital signal by making use of digital signal processing. To achieve this, an amplifier with a transistor and digital filters provided by MATLAB software were used, which were chosen according to the characteristics of the signals in question. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tesla%20coil" title="tesla coil">tesla coil</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20signal%20process" title=" digital signal process"> digital signal process</a>, <a href="https://publications.waset.org/abstracts/search?q=equalizer" title=" equalizer"> equalizer</a>, <a href="https://publications.waset.org/abstracts/search?q=graphical%20environment" title=" graphical environment"> graphical environment</a> </p> <a href="https://publications.waset.org/abstracts/170965/development-of-a-tesla-music-coil-from-signal-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170965.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">117</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7437</span> An Ultrasonic Signal Processing System for Tomographic Imaging of Reinforced Concrete Structures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Edwin%20Forero-Garcia">Edwin Forero-Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaime%20Vitola"> Jaime Vitola</a>, <a href="https://publications.waset.org/abstracts/search?q=Brayan%20Cardenas"> Brayan Cardenas</a>, <a href="https://publications.waset.org/abstracts/search?q=Johan%20Casagua"> Johan Casagua</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research article presents the integration of electronic and computer systems, which developed an ultrasonic signal processing system that performs the capture, adaptation, and analog-digital conversion to later carry out its processing and visualization. The capture and adaptation of the signal were carried out from the design and implementation of an analog electronic system distributed in stages: 1. Coupling of impedances; 2. Analog filter; 3. Signal amplifier. After the signal conditioning was carried out, the ultrasonic information was digitized using a digital microcontroller to carry out its respective processing. The digital processing of the signals was carried out in MATLAB software for the elaboration of A-Scan, B and D-Scan types of ultrasonic images. Then, advanced processing was performed using the SAFT technique to improve the resolution of the Scan-B-type images. Thus, the information from the ultrasonic images was displayed in a user interface developed in .Net with Visual Studio. For the validation of the system, ultrasonic signals were acquired, and in this way, the non-invasive inspection of the structures was carried out and thus able to identify the existing pathologies in them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acquisition" title="acquisition">acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasound" title=" ultrasound"> ultrasound</a>, <a href="https://publications.waset.org/abstracts/search?q=SAFT" title=" SAFT"> SAFT</a>, <a href="https://publications.waset.org/abstracts/search?q=HMI" title=" HMI"> HMI</a> </p> <a href="https://publications.waset.org/abstracts/162674/an-ultrasonic-signal-processing-system-for-tomographic-imaging-of-reinforced-concrete-structures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162674.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">107</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7436</span> Detection of Clipped Fragments in Speech Signals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sergei%20Aleinik">Sergei Aleinik</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuri%20Matveev"> Yuri Matveev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper a novel method for the detection of clipping in speech signals is described. It is shown that the new method has better performance than known clipping detection methods, is easy to implement, and is robust to changes in signal amplitude, size of data, etc. Statistical simulation results are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clipping" title="clipping">clipping</a>, <a href="https://publications.waset.org/abstracts/search?q=clipped%20signal" title=" clipped signal"> clipped signal</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20signal%20processing" title=" speech signal processing"> speech signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20signal%20processing" title=" digital signal processing"> digital signal processing</a> </p> <a href="https://publications.waset.org/abstracts/4816/detection-of-clipped-fragments-in-speech-signals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">392</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7435</span> Robustness of MIMO-OFDM Schemes for Future Digital TV to Carrier Frequency Offset</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Sankara%20Reddy">D. Sankara Reddy</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kranthi%20Kumar"> T. Kranthi Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Sreevani"> K. Sreevani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the impact of carrier frequency offset (CFO) on the performance of different MIMO-OFDM schemes with high spectral efficiency for next generation of terrestrial digital TV. We show that all studied MIMO-OFDM schemes are sensitive to CFO when it is greater than 1% of intercarrier spacing. We show also that the Alamouti scheme is the most sensitive MIMO scheme to CFO. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modulation%20and%20multiplexing%20%28MIMO-OFDM%29" title="modulation and multiplexing (MIMO-OFDM)">modulation and multiplexing (MIMO-OFDM)</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing%20for%20transmission%0D%0Acarrier%20frequency%20offset" title=" signal processing for transmission carrier frequency offset"> signal processing for transmission carrier frequency offset</a>, <a href="https://publications.waset.org/abstracts/search?q=future%20digital%20TV" title=" future digital TV"> future digital TV</a>, <a href="https://publications.waset.org/abstracts/search?q=imaging%20and%20signal%20processing" title=" imaging and signal processing"> imaging and signal processing</a> </p> <a href="https://publications.waset.org/abstracts/22713/robustness-of-mimo-ofdm-schemes-for-future-digital-tv-to-carrier-frequency-offset" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22713.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">487</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7434</span> Classification of Cochannel Signals Using Cyclostationary Signal Processing and Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bryan%20Crompton">Bryan Crompton</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Giger"> Daniel Giger</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanay%20Mehta"> Tanay Mehta</a>, <a href="https://publications.waset.org/abstracts/search?q=Apurva%20Mody"> Apurva Mody</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The task of classifying radio frequency (RF) signals has seen recent success in employing deep neural network models. In this work, we present a combined signal processing and machine learning approach to signal classification for cochannel anomalous signals. The power spectral density and cyclostationary signal processing features of a captured signal are computed and fed into a neural net to produce a classification decision. Our combined signal preprocessing and machine learning approach allows for simpler neural networks with fast training times and small computational resource requirements for inference with longer preprocessing time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title="signal processing">signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=cyclostationary%20signal%20processing" title=" cyclostationary signal processing"> cyclostationary signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20classification" title=" signal classification"> signal classification</a> </p> <a href="https://publications.waset.org/abstracts/164958/classification-of-cochannel-signals-using-cyclostationary-signal-processing-and-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164958.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">107</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7433</span> Voice Signal Processing and Coding in MATLAB Generating a Plasma Signal in a Tesla Coil for a Security System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Juan%20Jimenez">Juan Jimenez</a>, <a href="https://publications.waset.org/abstracts/search?q=Erika%20Yambay"> Erika Yambay</a>, <a href="https://publications.waset.org/abstracts/search?q=Dayana%20Pilco"> Dayana Pilco</a>, <a href="https://publications.waset.org/abstracts/search?q=Brayan%20Parra"> Brayan Parra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an investigation of voice signal processing and coding using MATLAB, with the objective of generating a plasma signal on a Tesla coil within a security system. The approach focuses on using advanced voice signal processing techniques to encode and modulate the audio signal, which is then amplified and applied to a Tesla coil. The result is the creation of a striking visual effect of voice-controlled plasma with specific applications in security systems. The article explores the technical aspects of voice signal processing, the generation of the plasma signal, and its relationship to security. The implications and creative potential of this technology are discussed, highlighting its relevance at the forefront of research in signal processing and visual effect generation in the field of security systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=voice%20signal%20processing" title="voice signal processing">voice signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=voice%20signal%20coding" title=" voice signal coding"> voice signal coding</a>, <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title=" MATLAB"> MATLAB</a>, <a href="https://publications.waset.org/abstracts/search?q=plasma%20signal" title=" plasma signal"> plasma signal</a>, <a href="https://publications.waset.org/abstracts/search?q=Tesla%20coil" title=" Tesla coil"> Tesla coil</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20system" title=" security system"> security system</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20effects" title=" visual effects"> visual effects</a>, <a href="https://publications.waset.org/abstracts/search?q=audiovisual%20interaction" title=" audiovisual interaction"> audiovisual interaction</a> </p> <a href="https://publications.waset.org/abstracts/170828/voice-signal-processing-and-coding-in-matlab-generating-a-plasma-signal-in-a-tesla-coil-for-a-security-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170828.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7432</span> Improvement of Piezoresistive Pressure Sensor Accuracy by Means of Current Loop Circuit Using Optimal Digital Signal Processing </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peter%20A.%20L%E2%80%99vov">Peter A. L’vov</a>, <a href="https://publications.waset.org/abstracts/search?q=Roman%20S.%20Konovalov"> Roman S. Konovalov</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexey%20A.%20L%E2%80%99vov"> Alexey A. L’vov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents the advanced digital modification of the conventional current loop circuit for pressure piezoelectric transducers. The optimal DSP algorithms of current loop responses by the maximum likelihood method are applied for diminishing of measurement errors. The loop circuit has some additional advantages such as the possibility to operate with any type of resistance or reactance sensors, and a considerable increase in accuracy and quality of measurements to be compared with AC bridges. The results obtained are dedicated to replace high-accuracy and expensive measuring bridges with current loop circuits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=current%20loop" title="current loop">current loop</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood%20method" title=" maximum likelihood method"> maximum likelihood method</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20digital%20signal%20processing" title=" optimal digital signal processing"> optimal digital signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=precise%20pressure%20measurement" title=" precise pressure measurement"> precise pressure measurement</a> </p> <a href="https://publications.waset.org/abstracts/22685/improvement-of-piezoresistive-pressure-sensor-accuracy-by-means-of-current-loop-circuit-using-optimal-digital-signal-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22685.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">529</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7431</span> Graph Similarity: Algebraic Model and Its Application to Nonuniform Signal Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nileshkumar%20Vishnav">Nileshkumar Vishnav</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Tatu"> Aditya Tatu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A recent approach of representing graph signals and graph filters as polynomials is useful for graph signal processing. In this approach, the adjacency matrix plays pivotal role; instead of the more common approach involving graph-Laplacian. In this work, we follow the adjacency matrix based approach and corresponding algebraic signal model. We further expand the theory and introduce the concept of similarity of two graphs. The similarity of graphs is useful in that key properties (such as filter-response, algebra related to graph) get transferred from one graph to another. We demonstrate potential applications of the relation between two similar graphs, such as nonuniform filter design, DTMF detection and signal reconstruction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=graph%20signal%20processing" title="graph signal processing">graph signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=algebraic%20signal%20processing" title=" algebraic signal processing"> algebraic signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20similarity" title=" graph similarity"> graph similarity</a>, <a href="https://publications.waset.org/abstracts/search?q=isospectral%20graphs" title=" isospectral graphs"> isospectral graphs</a>, <a href="https://publications.waset.org/abstracts/search?q=nonuniform%20signal%20processing" title=" nonuniform signal processing"> nonuniform signal processing</a> </p> <a href="https://publications.waset.org/abstracts/59404/graph-similarity-algebraic-model-and-its-application-to-nonuniform-signal-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59404.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">352</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7430</span> Vibroacoustic Modulation with Chirp Signal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dong%20Liu">Dong Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> By sending a high-frequency probe wave and a low-frequency pump wave to a specimen, the vibroacoustic method evaluates the defect’s severity according to the modulation index of the received signal. Many studies experimentally proved the significant sensitivity of the modulation index to the tiny contact type defect. However, it has also been found that the modulation index was highly affected by the frequency of probe or pump waves. Therefore, the chirp signal has been introduced to the VAM method since it can assess multiple frequencies in a relatively short time duration, so the robustness of the VAM method could be enhanced. Consequently, the signal processing method needs to be modified accordingly. Various studies utilized different algorithms or combinations of algorithms for processing the VAM signal method by chirp excitation. These signal process methods were compared and used for processing a VAM signal acquired from the steel samples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vibroacoustic%20modulation" title="vibroacoustic modulation">vibroacoustic modulation</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20acoustic%20modulation" title=" nonlinear acoustic modulation"> nonlinear acoustic modulation</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20acoustic%20NDT%26E" title=" nonlinear acoustic NDT&E"> nonlinear acoustic NDT&E</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20health%20monitoring" title=" structural health monitoring"> structural health monitoring</a> </p> <a href="https://publications.waset.org/abstracts/155764/vibroacoustic-modulation-with-chirp-signal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155764.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7429</span> Low Power Glitch Free Dual Output Coarse Digitally Controlled Delay Lines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Shaji%20Mon">K. Shaji Mon</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20R.%20John%20Sreenidhi"> P. R. John Sreenidhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In deep-submicrometer CMOS processes, time-domain resolution of a digital signal is becoming higher than voltage resolution of analog signals. This claim is nowadays pushing toward a new circuit design paradigm in which the traditional analog signal processing is expected to be progressively substituted by the processing of times in the digital domain. Within this novel paradigm, digitally controlled delay lines (DCDL) should play the role of digital-to-analog converters in traditional, analog-intensive, circuits. Digital delay locked loops are highly prevalent in integrated systems.The proposed paper addresses the glitches present in delay circuits along with area,power dissipation and signal integrity.The digitally controlled delay lines(DCDL) under study have been designed in a 90 nm CMOS technology 6 layer metal Copper Strained SiGe Low K Dielectric. Simulation and synthesis results show that the novel circuits exhibit no glitches for dual output coarse DCDL with less power dissipation and consumes less area compared to the glitch free NAND based DCDL. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=glitch%20free" title="glitch free">glitch free</a>, <a href="https://publications.waset.org/abstracts/search?q=NAND-based%20DCDL" title=" NAND-based DCDL"> NAND-based DCDL</a>, <a href="https://publications.waset.org/abstracts/search?q=CMOS" title=" CMOS"> CMOS</a>, <a href="https://publications.waset.org/abstracts/search?q=deep-submicrometer" title=" deep-submicrometer"> deep-submicrometer</a> </p> <a href="https://publications.waset.org/abstracts/2876/low-power-glitch-free-dual-output-coarse-digitally-controlled-delay-lines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2876.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7428</span> Development of a Serial Signal Monitoring Program for Educational Purposes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jungho%20Moon">Jungho Moon</a>, <a href="https://publications.waset.org/abstracts/search?q=Lae-Jeong%20Park"> Lae-Jeong Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a signal monitoring program developed with a view to helping electrical engineering students get familiar with sensors with digital output. Because the output of digital sensors cannot be simply monitored by a measuring instrument such as an oscilloscope, students tend to have a hard time dealing with digital sensors. The monitoring program runs on a PC and communicates with an MCU that reads the output of digital sensors via an asynchronous communication interface. Receiving the sensor data from the MCU, the monitoring program shows time and/or frequency domain plots of the data in real time. In addition, the monitoring program provides a serial terminal that enables the user to exchange text information with the MCU while the received data is plotted. The user can easily observe the output of digital sensors and configure the digital sensors in real time, which helps students who do not have enough experiences with digital sensors. Though the monitoring program was programmed in the Matlab programming language, it runs without the Matlab since it was compiled as a standalone executable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20sensor" title="digital sensor">digital sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title=" MATLAB"> MATLAB</a>, <a href="https://publications.waset.org/abstracts/search?q=MCU" title=" MCU"> MCU</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20monitoring%20program" title=" signal monitoring program"> signal monitoring program</a> </p> <a href="https://publications.waset.org/abstracts/41706/development-of-a-serial-signal-monitoring-program-for-educational-purposes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41706.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">496</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7427</span> Comparative Analysis of Two Approaches to Joint Signal Detection, ToA and AoA Estimation in Multi-Element Antenna Arrays</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olesya%20Bolkhovskaya">Olesya Bolkhovskaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexey%20Davydov"> Alexey Davydov</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20Maltsev"> Alexander Maltsev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper two approaches to joint signal detection, time of arrival (ToA) and angle of arrival (AoA) estimation in multi-element antenna array are investigated. Two scenarios were considered: first one, when the waveform of the useful signal is known a priori and, second one, when the waveform of the desired signal is unknown. For first scenario, the antenna array signal processing based on multi-element matched filtering (MF) with the following non-coherent detection scheme and maximum likelihood (ML) parameter estimation blocks is exploited. For second scenario, the signal processing based on the antenna array elements covariance matrix estimation with the following eigenvector analysis and ML parameter estimation blocks is applied. The performance characteristics of both signal processing schemes are thoroughly investigated and compared for different useful signals and noise parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antenna%20array" title="antenna array">antenna array</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20detection" title=" signal detection"> signal detection</a>, <a href="https://publications.waset.org/abstracts/search?q=ToA" title=" ToA"> ToA</a>, <a href="https://publications.waset.org/abstracts/search?q=AoA%20estimation" title=" AoA estimation"> AoA estimation</a> </p> <a href="https://publications.waset.org/abstracts/11917/comparative-analysis-of-two-approaches-to-joint-signal-detection-toa-and-aoa-estimation-in-multi-element-antenna-arrays" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11917.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">496</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7426</span> Jordan Curves in the Digital Plane with Respect to the Connectednesses given by Certain Adjacency Graphs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Josef%20Slapal">Josef Slapal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital images are approximations of real ones and, therefore, to be able to study them, we need the digital plane Z2 to be equipped with a convenient structure that behaves analogously to the Euclidean topology on the real plane. In particular, it is required that such a structure allows for a digital analogue of the Jordan curve theorem. We introduce certain adjacency graphs on the digital plane and prove digital Jordan curves for them thus showing that the graphs provide convenient structures on Z2 for the study and processing of digital images. Further convenient structures including the wellknown Khalimsky and Marcus-Wyse adjacency graphs may be obtained as quotients of the graphs introduced. Since digital Jordan curves represent borders of objects in digital images, the adjacency graphs discussed may be used as background structures on the digital plane for solving the problems of digital image processing that are closely related to borders like border detection, contour filling, pattern recognition, thinning, etc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20plane" title="digital plane">digital plane</a>, <a href="https://publications.waset.org/abstracts/search?q=adjacency%20graph" title=" adjacency graph"> adjacency graph</a>, <a href="https://publications.waset.org/abstracts/search?q=Jordan%20curve" title=" Jordan curve"> Jordan curve</a>, <a href="https://publications.waset.org/abstracts/search?q=quotient%20adjacency" title=" quotient adjacency"> quotient adjacency</a> </p> <a href="https://publications.waset.org/abstracts/65454/jordan-curves-in-the-digital-plane-with-respect-to-the-connectednesses-given-by-certain-adjacency-graphs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65454.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7425</span> Wavelet Based Signal Processing for Fault Location in Airplane Cable </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Reza%20Rezaeipour%20Honarmandzad">Reza Rezaeipour Honarmandzad </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wavelet analysis is an exciting method for solving difficult problems in mathematics, physics, and engineering, with modern applications as diverse as wave propagation, data compression, signal processing, image processing, pattern recognition, etc. Wavelets allow complex information such as signals, images and patterns to be decomposed into elementary forms at different positions and scales and subsequently reconstructed with high precision. In this paper a wavelet-based signal processing algorithm for airplane cable fault location is proposed. An orthogonal discrete wavelet decomposition and reconstruction algorithm is used to eliminate the noise in the aircraft cable fault signal. The experiment result has shown that the character of emission pulse and reflect pulse used to test the aircraft cable fault point are reserved and the high-frequency noise are eliminated by means of the proposed algorithm in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wavelet%20analysis" title="wavelet analysis">wavelet analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=orthogonal%20discrete%20wavelet" title=" orthogonal discrete wavelet"> orthogonal discrete wavelet</a>, <a href="https://publications.waset.org/abstracts/search?q=noise" title=" noise"> noise</a>, <a href="https://publications.waset.org/abstracts/search?q=aircraft%20cable%20fault%20signal" title=" aircraft cable fault signal"> aircraft cable fault signal</a> </p> <a href="https://publications.waset.org/abstracts/29799/wavelet-based-signal-processing-for-fault-location-in-airplane-cable" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">524</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7424</span> Forensic Analysis of Signal Messenger on Android</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ward%20Bakker">Ward Bakker</a>, <a href="https://publications.waset.org/abstracts/search?q=Shadi%20Alhakimi"> Shadi Alhakimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The amount of people moving towards more privacy focused instant messaging applications has grown significantly. Signal is one of these instant messaging applications, which makes Signal interesting for digital investigators. In this research, we evaluate the artifacts that are generated by the Signal messenger for Android. This evaluation was done by using the features that Signal provides to create artifacts, whereafter, we made an image of the internal storage and the process memory. This image was analysed manually. The manual analysis revealed the content that Signal stores in different locations during its operation. From our research, we were able to identify the artifacts and interpret how they were used. We also examined the source code of Signal. Using our obtain knowledge from the source code, we developed a tool that decrypts some of the artifacts using the key stored in the Android Keystore. In general, we found that most artifacts are encrypted and encoded, even after decrypting some of the artifacts. During data visualization, some artifacts were found, such as that Signal does not use relationships between the data. In this research, two interesting groups of artifacts were identified, those related to the database and those stored in the process memory dump. In the database, we found plaintext private- and group chats, and in the memory dump, we were able to retrieve the plaintext access code to the application. Nevertheless, we conclude that Signal contains a wealth of artifacts that could be very valuable to a digital forensic investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forensic" title="forensic">forensic</a>, <a href="https://publications.waset.org/abstracts/search?q=signal" title=" signal"> signal</a>, <a href="https://publications.waset.org/abstracts/search?q=Android" title=" Android"> Android</a>, <a href="https://publications.waset.org/abstracts/search?q=digital" title=" digital"> digital</a> </p> <a href="https://publications.waset.org/abstracts/145060/forensic-analysis-of-signal-messenger-on-android" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145060.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7423</span> Speech Enhancement Using Kalman Filter in Communication</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eng.%20Alaa%20K.%20Satti%20Salih">Eng. Alaa K. Satti Salih</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Revolutions Applications such as telecommunications, hands-free communications, recording, etc. which need at least one microphone, the signal is usually infected by noise and echo. The important application is the speech enhancement, which is done to remove suppressed noises and echoes taken by a microphone, beside preferred speech. Accordingly, the microphone signal has to be cleaned using digital signal processing DSP tools before it is played out, transmitted, or stored. Engineers have so far tried different approaches to improving the speech by get back the desired speech signal from the noisy observations. Especially Mobile communication, so in this paper will do reconstruction of the speech signal, observed in additive background noise, using the Kalman filter technique to estimate the parameters of the Autoregressive Process (AR) in the state space model and the output speech signal obtained by the MATLAB. The accurate estimation by Kalman filter on speech would enhance and reduce the noise then compare and discuss the results between actual values and estimated values which produce the reconstructed signals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autoregressive%20process" title="autoregressive process">autoregressive process</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=Matlab" title=" Matlab"> Matlab</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20speech" title=" noise speech"> noise speech</a> </p> <a href="https://publications.waset.org/abstracts/7182/speech-enhancement-using-kalman-filter-in-communication" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7182.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7422</span> Denoising of Motor Unit Action Potential Based on Tunable Band-Pass Filter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khalida%20S.%20Rijab">Khalida S. Rijab</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20E.%20Safi"> Mohammed E. Safi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayad%20A.%20%20Ibrahim"> Ayad A. Ibrahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> When electrical electrodes are mounted on the skin surface of the muscle, a signal is detected when a skeletal muscle undergoes contraction; the signal is known as surface electromyographic signal (EMG). This signal has a noise-like interference pattern resulting from the temporal and spatial summation of action potentials (AP) of all active motor units (MU) near electrode detection. By appropriate processing (Decomposition), the surface EMG signal may be used to give an estimate of motor unit action potential. In this work, a denoising technique is applied to the MUAP signals extracted from the spatial filter (IB2). A set of signals from a non-invasive two-dimensional grid of 16 electrodes from different types of subjects, muscles, and sex are recorded. These signals will acquire noise during recording and detection. A digital fourth order band- pass Butterworth filter is used for denoising, with a tuned band-pass frequency of suitable choice of cutoff frequencies is investigated, with the aim of obtaining a suitable band pass frequency. Results show an improvement of (1-3 dB) in the signal to noise ratio (SNR) have been achieved, relative to the raw spatial filter output signals for all cases that were under investigation. Furthermore, the research’s goal included also estimation and reconstruction of the mean shape of the MUAP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=EMG" title="EMG">EMG</a>, <a href="https://publications.waset.org/abstracts/search?q=Motor%20Unit" title=" Motor Unit"> Motor Unit</a>, <a href="https://publications.waset.org/abstracts/search?q=Digital%20Filter" title=" Digital Filter"> Digital Filter</a>, <a href="https://publications.waset.org/abstracts/search?q=Denoising" title=" Denoising"> Denoising</a> </p> <a href="https://publications.waset.org/abstracts/63012/denoising-of-motor-unit-action-potential-based-on-tunable-band-pass-filter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63012.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">401</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7421</span> Exploiting Fast Independent Component Analysis Based Algorithm for Equalization of Impaired Baseband Received Signal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Umair">Muhammad Umair</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20Qasim%20Gilani"> Syed Qasim Gilani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A technique using Independent Component Analysis (ICA) for blind receiver signal processing is investigated. The problem of the receiver signal processing is viewed as of signal equalization and implementation imperfections compensation. Based on this, a model similar to a general ICA problem is developed for the received signal. Then, the use of ICA technique for blind signal equalization in the time domain is presented. The equalization is regarded as a signal separation problem, since the desired signal is separated from interference terms. This problem is addressed in the paper by over-sampling of the received signal. By using ICA for equalization, besides channel equalization, other transmission imperfections such as Direct current (DC) bias offset, carrier phase and In phase Quadrature phase imbalance will also be corrected. Simulation results for a system using 16-Quadraure Amplitude Modulation(QAM) are presented to show the performance of the proposed scheme. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blind%20equalization" title="blind equalization">blind equalization</a>, <a href="https://publications.waset.org/abstracts/search?q=blind%20signal%20separation" title=" blind signal separation"> blind signal separation</a>, <a href="https://publications.waset.org/abstracts/search?q=equalization" title=" equalization"> equalization</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20component%20analysis" title=" independent component analysis"> independent component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=transmission%20impairments" title=" transmission impairments"> transmission impairments</a>, <a href="https://publications.waset.org/abstracts/search?q=QAM%20receiver" title=" QAM receiver"> QAM receiver</a> </p> <a href="https://publications.waset.org/abstracts/94433/exploiting-fast-independent-component-analysis-based-algorithm-for-equalization-of-impaired-baseband-received-signal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94433.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">214</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7420</span> Graphical User Interface for Presting Matlab Work for Reduction of Chromatic Disperion Using Digital Signal Processing for Optical Communication</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Faiz%20Liew%20Abdullah">Muhammad Faiz Liew Abdullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhagwan%20Das"> Bhagwan Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Nor%20Shahida"> Nor Shahida</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Fattah%20Chandio"> Abdul Fattah Chandio</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents the designed features of Graphical User Interface (GUI) for chromatic dispersion (CD) reduction using digital signal processing (DSP) techniques. GUI is specially designed for windows platform. The obtained simulation results from matlab are presented via this GUI. After importing results from matlab in GUI, It will present your work on any windows7 and onwards versions platforms without matlab software. First part of the GUI contains the research methodology block diagram and in the second part, output for each stage is shown in separate reserved area for the result display. Each stage of methodology has the captions to display the results. This GUI will be very helpful during presentations instead of making slides this GUI will present all your work easily in the absence of other software’s such as Matlab, Labview, MS PowerPoint. GUI is designed using C programming in MS Visio Studio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matlab%20simulation%20results" title="Matlab simulation results">Matlab simulation results</a>, <a href="https://publications.waset.org/abstracts/search?q=C%20programming" title=" C programming"> C programming</a>, <a href="https://publications.waset.org/abstracts/search?q=MS%20VISIO%20studio" title=" MS VISIO studio"> MS VISIO studio</a>, <a href="https://publications.waset.org/abstracts/search?q=chromatic%20dispersion" title=" chromatic dispersion"> chromatic dispersion</a> </p> <a href="https://publications.waset.org/abstracts/15838/graphical-user-interface-for-presting-matlab-work-for-reduction-of-chromatic-disperion-using-digital-signal-processing-for-optical-communication" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15838.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">462</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7419</span> Enhancing Embedded System Efficiency with Digital Signal Processing Cores</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anil%20H.%20Dhanawade">Anil H. Dhanawade</a>, <a href="https://publications.waset.org/abstracts/search?q=Akshay%20S."> Akshay S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Harshal%20M.%20Lakesar"> Harshal M. Lakesar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a comprehensive analysis of the performance advantages offered by DSP (Digital Signal Processing) cores compared to traditional MCU (Microcontroller Unit) cores in the execution of various functions critical to real-time applications. The focus is on the integration of DSP functionalities, specifically in the context of motor control applications such as Field-Oriented Control (FOC), trigonometric calculations, back-EMF estimation, digital filtering, and high-resolution PWM generation. Through comparative analysis, it is demonstrated that DSP cores significantly enhance processing efficiency, achieving faster execution times for complex mathematical operations essential for precise torque and speed control. The study highlights the capabilities of DSP cores, including single-cycle Multiply-Accumulate (MAC) operations and optimized hardware for trigonometric functions, which collectively reduce latency and improve real-time performance. In contrast, MCU cores, while capable of performing similar tasks, typically exhibit longer execution times due to reliance on software-based solutions and lack of dedicated hardware acceleration. The findings underscore the critical role of DSP cores in applications requiring high-speed processing and low-latency response, making them indispensable in the automotive, industrial, and robotics sectors. This work serves as a reference for future developments in embedded systems, emphasizing the importance of architecture choice in achieving optimal performance in demanding computational tasks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CPU%20core" title="CPU core">CPU core</a>, <a href="https://publications.waset.org/abstracts/search?q=DSP" title=" DSP"> DSP</a>, <a href="https://publications.waset.org/abstracts/search?q=assembly%20code" title=" assembly code"> assembly code</a>, <a href="https://publications.waset.org/abstracts/search?q=motor%20control" title=" motor control"> motor control</a> </p> <a href="https://publications.waset.org/abstracts/193351/enhancing-embedded-system-efficiency-with-digital-signal-processing-cores" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193351.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">16</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7418</span> EEG Signal Processing Methods to Differentiate Mental States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun%20H.%20Hwang">Sun H. Hwang</a>, <a href="https://publications.waset.org/abstracts/search?q=Young%20E.%20Lee"> Young E. Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunhan%20Ga"> Yunhan Ga</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilwon%20Yoon"> Gilwon Yoon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> EEG is a very complex signal with noises and other bio-potential interferences. EOG is the most distinct interfering signal when EEG signals are measured and analyzed. It is very important how to process raw EEG signals in order to obtain useful information. In this study, the EEG signal processing techniques such as EOG filtering and outlier removal were examined to minimize unwanted EOG signals and other noises. The two different mental states of resting and focusing were examined through EEG analysis. A focused state was induced by letting subjects to watch a red dot on the white screen. EEG data for 32 healthy subjects were measured. EEG data after 60-Hz notch filtering were processed by a commercially available EOG filtering and our presented algorithm based on the removal of outliers. The ratio of beta wave to theta wave was used as a parameter for determining the degree of focusing. The results show that our algorithm was more appropriate than the existing EOG filtering. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=EEG" title="EEG">EEG</a>, <a href="https://publications.waset.org/abstracts/search?q=focus" title=" focus"> focus</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20state" title=" mental state"> mental state</a>, <a href="https://publications.waset.org/abstracts/search?q=outlier" title=" outlier"> outlier</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a> </p> <a href="https://publications.waset.org/abstracts/62057/eeg-signal-processing-methods-to-differentiate-mental-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62057.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">283</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7417</span> Online Prediction of Nonlinear Signal Processing Problems Based Kernel Adaptive Filtering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamza%20Nejib">Hamza Nejib</a>, <a href="https://publications.waset.org/abstracts/search?q=Okba%20Taouali"> Okba Taouali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents two of the most knowing kernel adaptive filtering (KAF) approaches, the kernel least mean squares and the kernel recursive least squares, in order to predict a new output of nonlinear signal processing. Both of these methods implement a nonlinear transfer function using kernel methods in a particular space named reproducing kernel Hilbert space (RKHS) where the model is a linear combination of kernel functions applied to transform the observed data from the input space to a high dimensional feature space of vectors, this idea known as the kernel trick. Then KAF is the developing filters in RKHS. We use two nonlinear signal processing problems, Mackey Glass chaotic time series prediction and nonlinear channel equalization to figure the performance of the approaches presented and finally to result which of them is the adapted one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20prediction" title="online prediction">online prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=KAF" title=" KAF"> KAF</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=RKHS" title=" RKHS"> RKHS</a>, <a href="https://publications.waset.org/abstracts/search?q=Kernel%20methods" title=" Kernel methods"> Kernel methods</a>, <a href="https://publications.waset.org/abstracts/search?q=KRLS" title=" KRLS"> KRLS</a>, <a href="https://publications.waset.org/abstracts/search?q=KLMS" title=" KLMS"> KLMS</a> </p> <a href="https://publications.waset.org/abstracts/63627/online-prediction-of-nonlinear-signal-processing-problems-based-kernel-adaptive-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63627.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7416</span> Implementation of a Web-Based Wireless ECG Measuring and Recording System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Onder%20Yakut">Onder Yakut</a>, <a href="https://publications.waset.org/abstracts/search?q=Serdar%20Solak"> Serdar Solak</a>, <a href="https://publications.waset.org/abstracts/search?q=Emine%20Dogru%20Bolat"> Emine Dogru Bolat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Measuring the Electrocardiogram (ECG) signal is an essential process for the diagnosis of the heart diseases. The ECG signal has the information of the degree of how much the heart performs its functions. In medical diagnosis and treatment systems, Decision Support Systems processing the ECG signal are being developed for the use of clinicians while medical examination. In this study, a modular wireless ECG (WECG) measuring and recording system using a single board computer and e-Health sensor platform is developed. In this designed modular system, after the ECG signal is taken from the body surface by the electrodes first, it is filtered and converted to digital form. Then, it is recorded to the health database using Wi-Fi communication technology. The real time access of the ECG data is provided through the internet utilizing the developed web interface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ECG" title="ECG">ECG</a>, <a href="https://publications.waset.org/abstracts/search?q=e-health%20sensor%20shield" title=" e-health sensor shield"> e-health sensor shield</a>, <a href="https://publications.waset.org/abstracts/search?q=Raspberry%20Pi" title=" Raspberry Pi"> Raspberry Pi</a>, <a href="https://publications.waset.org/abstracts/search?q=wiFi%20technology" title=" wiFi technology"> wiFi technology</a> </p> <a href="https://publications.waset.org/abstracts/35188/implementation-of-a-web-based-wireless-ecg-measuring-and-recording-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7415</span> Efficient Filtering of Graph Based Data Using Graph Partitioning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nileshkumar%20Vaishnav">Nileshkumar Vaishnav</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Tatu"> Aditya Tatu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An algebraic framework for processing graph signals axiomatically designates the graph adjacency matrix as the shift operator. In this setup, we often encounter a problem wherein we know the filtered output and the filter coefficients, and need to find out the input graph signal. Solution to this problem using direct approach requires O(N3) operations, where N is the number of vertices in graph. In this paper, we adapt the spectral graph partitioning method for partitioning of graphs and use it to reduce the computational cost of the filtering problem. We use the example of denoising of the temperature data to illustrate the efficacy of the approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=graph%20signal%20processing" title="graph signal processing">graph signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20partitioning" title=" graph partitioning"> graph partitioning</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20filtering%20on%20graphs" title=" inverse filtering on graphs"> inverse filtering on graphs</a>, <a href="https://publications.waset.org/abstracts/search?q=algebraic%20signal%20processing" title=" algebraic signal processing"> algebraic signal processing</a> </p> <a href="https://publications.waset.org/abstracts/59397/efficient-filtering-of-graph-based-data-using-graph-partitioning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59397.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">310</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7414</span> Lab Bench for Synthetic Aperture Radar Imaging System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthiyayini%20Nagarajan">Karthiyayini Nagarajan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20V.%20Ramakrishna"> P. V. Ramakrishna </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar Imaging techniques provides extensive applications in the field of remote sensing, majorly Synthetic Aperture Radar (SAR) that provide high resolution target images. This paper work puts forward the effective and realizable signal generation and processing for SAR images. The major units in the system include camera, signal generation unit, signal processing unit and display screen. The real radio channel is replaced by its mathematical model based on optical image to calculate a reflected signal model in real time. Signal generation realizes the algorithm and forms the radar reflection model. Signal processing unit provides range and azimuth resolution through matched filtering and spectrum analysis procedure to form radar image on the display screen. The restored image has the same quality as that of the optical image. This SAR imaging system has been designed and implemented using MATLAB and Quartus II tools on Stratix III device as a System (Lab Bench) that works in real time to study/investigate on radar imaging rudiments and signal processing scheme for educational and research purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=synthetic%20aperture%20radar" title="synthetic aperture radar">synthetic aperture radar</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20reflection%20model" title=" radio reflection model"> radio reflection model</a>, <a href="https://publications.waset.org/abstracts/search?q=lab%20bench" title=" lab bench"> lab bench</a>, <a href="https://publications.waset.org/abstracts/search?q=imaging%20engineering" title=" imaging engineering"> imaging engineering</a> </p> <a href="https://publications.waset.org/abstracts/29485/lab-bench-for-synthetic-aperture-radar-imaging-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29485.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">497</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7413</span> Design and Implementation of a Lab Bench for Synthetic Aperture Radar Imaging System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthiyayini%20Nagarajan">Karthiyayini Nagarajan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20V.%20RamaKrishna"> P. V. RamaKrishna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar Imaging techniques provides extensive applications in the field of remote sensing, majorly Synthetic Aperture Radar(SAR) that provide high resolution target images. This paper work puts forward the effective and realizable signal generation and processing for SAR images. The major units in the system include camera, signal generation unit, signal processing unit and display screen. The real radio channel is replaced by its mathematical model based on optical image to calculate a reflected signal model in real time. Signal generation realizes the algorithm and forms the radar reflection model. Signal processing unit provides range and azimuth resolution through matched filtering and spectrum analysis procedure to form radar image on the display screen. The restored image has the same quality as that of the optical image. This SAR imaging system has been designed and implemented using MATLAB and Quartus II tools on Stratix III device as a System(lab bench) that works in real time to study/investigate on radar imaging rudiments and signal processing scheme for educational and research purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=synthetic%20aperture%20radar" title="synthetic aperture radar">synthetic aperture radar</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20reflection%20model" title=" radio reflection model"> radio reflection model</a>, <a href="https://publications.waset.org/abstracts/search?q=lab%20bench" title=" lab bench"> lab bench</a> </p> <a href="https://publications.waset.org/abstracts/29475/design-and-implementation-of-a-lab-bench-for-synthetic-aperture-radar-imaging-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">468</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7412</span> Anonymous Editing Prevention Technique Using Gradient Method for High-Quality Video</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiwon%20Lee">Jiwon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Chanho%20Jung"> Chanho Jung</a>, <a href="https://publications.waset.org/abstracts/search?q=Si-Hwan%20Jang"> Si-Hwan Jang</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyung-Ill%20Kim"> Kyung-Ill Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanghyun%20Joo"> Sanghyun Joo</a>, <a href="https://publications.waset.org/abstracts/search?q=Wook-Ho%20Son"> Wook-Ho Son</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since the advances in digital imaging technologies have led to development of high quality digital devices, there are a lot of illegal copies of copyrighted video content on the internet. Thus, we propose a high-quality (HQ) video watermarking scheme that can prevent these illegal copies from spreading out. The proposed scheme is applied spatial and temporal gradient methods to improve the fidelity and detection performance. Also, the scheme duplicates the watermark signal temporally to alleviate the signal reduction caused by geometric and signal-processing distortions. Experimental results show that the proposed scheme achieves better performance than previously proposed schemes and it has high fidelity. The proposed scheme can be used in broadcast monitoring or traitor tracking applications which need fast detection process to prevent illegally recorded video content from spreading out. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=editing%20prevention%20technique" title="editing prevention technique">editing prevention technique</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient%20method" title=" gradient method"> gradient method</a>, <a href="https://publications.waset.org/abstracts/search?q=luminance%20change" title=" luminance change"> luminance change</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20watermarking" title=" video watermarking"> video watermarking</a> </p> <a href="https://publications.waset.org/abstracts/42072/anonymous-editing-prevention-technique-using-gradient-method-for-high-quality-video" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42072.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">456</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7411</span> Digital Revolution a Veritable Infrastructure for Technological Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osakwe%20Jude%20Odiakaosa">Osakwe Jude Odiakaosa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today’s digital society is characterized by e-education or e-learning, e-commerce, and so on. All these have been propelled by digital revolution. Digital technology such as computer technology, Global Positioning System (GPS) and Geographic Information System (GIS) has been having a tremendous impact on the field of technology. This development has positively affected the scope, methods, speed of data acquisition, data management and the rate of delivery of the results (map and other map products) of data processing. This paper tries to address the impact of revolution brought by digital technology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20revolution" title="digital revolution">digital revolution</a>, <a href="https://publications.waset.org/abstracts/search?q=internet" title=" internet"> internet</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20management" title=" data management "> data management </a> </p> <a href="https://publications.waset.org/abstracts/25925/digital-revolution-a-veritable-infrastructure-for-technological-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25925.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">449</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7410</span> Embedded System of Signal Processing on FPGA: Underwater Application Architecture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Elhanaoui">Abdelkader Elhanaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Mhamed%20Hadji"> Mhamed Hadji</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachid%20Skouri"> Rachid Skouri</a>, <a href="https://publications.waset.org/abstracts/search?q=Said%20Agounad"> Said Agounad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to study the phenomenon of acoustic scattering by using a new method. The signal processing (Fast Fourier Transform FFT Inverse Fast Fourier Transform iFFT and BESSEL functions) is widely applied to obtain information with high precision accuracy. Signal processing has a wider implementation in general-purpose pro-cessors. Our interest was focused on the use of FPGAs (Field-Programmable Gate Ar-rays) in order to minimize the computational complexity in single processor architecture, then be accelerated on FPGA and meet real-time and energy efficiency requirements. Gen-eral-purpose processors are not efficient for signal processing. We implemented the acous-tic backscattered signal processing model on the Altera DE-SOC board and compared it to Odroid xu4. By comparison, the computing latency of Odroid xu4 and FPGA is 60 sec-onds and 3 seconds, respectively. The detailed SoC FPGA-based system has shown that acoustic spectra are performed up to 20 times faster than the Odroid xu4 implementation. FPGA-based system of processing algorithms is realized with an absolute error of about 10⁻³. This study underlines the increasing importance of embedded systems in underwater acoustics, especially in non-destructive testing. It is possible to obtain information related to the detection and characterization of submerged cells. So we have achieved good exper-imental results in real-time and energy efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DE1%20FPGA" title="DE1 FPGA">DE1 FPGA</a>, <a href="https://publications.waset.org/abstracts/search?q=acoustic%20scattering" title=" acoustic scattering"> acoustic scattering</a>, <a href="https://publications.waset.org/abstracts/search?q=form%20function" title=" form function"> form function</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=non-destructive%20testing" title=" non-destructive testing"> non-destructive testing</a> </p> <a href="https://publications.waset.org/abstracts/162313/embedded-system-of-signal-processing-on-fpga-underwater-application-architecture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162313.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7409</span> A Hybrid Digital Watermarking Scheme</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazish%20Saleem%20Abbas">Nazish Saleem Abbas</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Haris%20Jamil"> Muhammad Haris Jamil</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Sharif"> Hamid Sharif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital watermarking is a technique that allows an individual to add and hide secret information, copyright notice, or other verification message inside a digital audio, video, or image. Today, with the advancement of technology, modern healthcare systems manage patients’ diagnostic information in a digital way in many countries. When transmitted between hospitals through the internet, the medical data becomes vulnerable to attacks and requires security and confidentiality. Digital watermarking techniques are used in order to ensure the authenticity, security and management of medical images and related information. This paper proposes a watermarking technique that embeds a watermark in medical images imperceptibly and securely. In this work, digital watermarking on medical images is carried out using the Least Significant Bit (LSB) with the Discrete Cosine Transform (DCT). The proposed methods of embedding and extraction of a watermark in a watermarked image are performed in the frequency domain using LSB by XOR operation. The quality of the watermarked medical image is measured by the Peak signal-to-noise ratio (PSNR). It was observed that the watermarked medical image obtained performing XOR operation between DCT and LSB survived compression attack having a PSNR up to 38.98. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=watermarking" title="watermarking">watermarking</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=DCT" title=" DCT"> DCT</a>, <a href="https://publications.waset.org/abstracts/search?q=LSB" title=" LSB"> LSB</a>, <a href="https://publications.waset.org/abstracts/search?q=PSNR" title=" PSNR"> PSNR</a> </p> <a href="https://publications.waset.org/abstracts/185946/a-hybrid-digital-watermarking-scheme" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185946.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info 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