Search results for: U.Venu

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U.Venu</title> <meta name="description" content="Search results for: U.Venu"> <meta name="keywords" content="U.Venu"> <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 class="d-block d-lg-none navbar-toggler ml-auto" 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<i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="U.Venu"> <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> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: U.Venu</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Optimization of Quantization in Higher Order Modulations for LDPC-Coded Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=M.Sushanth%20Babu">M.Sushanth Babu</a>, <a href="https://publications.waset.org/search?q=P.Krishna"> P.Krishna</a>, <a href="https://publications.waset.org/search?q=U.Venu"> U.Venu</a>, <a href="https://publications.waset.org/search?q=M.Ranjith"> M.Ranjith</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we evaluate the choice of suitable quantization characteristics for both the decoder messages and the received samples in Low Density Parity Check (LDPC) coded systems using M-QAM (Quadrature Amplitude Modulation) schemes. The analysis involves the demapper block that provides initial likelihood values for the decoder, by relating its quantization strategy of the decoder. A mapping strategy refers to the grouping of bits within a codeword, where each m-bit group is used to select a 2m-ary signal in accordance with the signal labels. Further we evaluate the system with mapping strategies like Consecutive-Bit (CB) and Bit-Reliability (BR). A new demapper version, based on approximate expressions, is also presented to yield a low complexity hardware implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Low%20Density%20parity%20Check" title="Low Density parity Check">Low Density parity Check</a>, <a href="https://publications.waset.org/search?q=Mapping" title=" Mapping"> Mapping</a>, <a href="https://publications.waset.org/search?q=Demapping" title=" Demapping"> Demapping</a>, <a href="https://publications.waset.org/search?q=Quantization" title=" Quantization"> Quantization</a>, <a href="https://publications.waset.org/search?q=Quadrature%20Amplitude%20Modulation" title=" Quadrature Amplitude Modulation"> Quadrature Amplitude Modulation</a> </p> <a href="https://publications.waset.org/10430/optimization-of-quantization-in-higher-order-modulations-for-ldpc-coded-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10430/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10430/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10430/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10430/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10430/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10430/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10430/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10430/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10430/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10430/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10430.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">1735</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Similarity Measure Functions for Strategy-Based Biometrics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Roman%20V.%20Yampolskiy">Roman V. Yampolskiy</a>, <a href="https://publications.waset.org/search?q=Venu%20Govindaraju"> Venu Govindaraju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Functioning of a biometric system in large part depends on the performance of the similarity measure function. Frequently a generalized similarity distance measure function such as Euclidian distance or Mahalanobis distance is applied to the task of matching biometric feature vectors. However, often accuracy of a biometric system can be greatly improved by designing a customized matching algorithm optimized for a particular biometric application. In this paper we propose a tailored similarity measure function for behavioral biometric systems based on the expert knowledge of the feature level data in the domain. We compare performance of a proposed matching algorithm to that of other well known similarity distance functions and demonstrate its superiority with respect to the chosen domain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Behavioral%20Biometrics" title="Behavioral Biometrics">Behavioral Biometrics</a>, <a href="https://publications.waset.org/search?q=Euclidian%20Distance" title=" Euclidian Distance"> Euclidian Distance</a>, <a href="https://publications.waset.org/search?q=Matching" title="Matching">Matching</a>, <a href="https://publications.waset.org/search?q=Similarity%20Measure." title=" Similarity Measure."> Similarity Measure.</a> </p> <a href="https://publications.waset.org/10863/similarity-measure-functions-for-strategy-based-biometrics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10863/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a 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