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Oversampling - Wikipedia
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</div> </div> </nav> <h1 id="firstHeading" class="firstHeading mw-first-heading"><span class="mw-page-title-main">Oversampling</span></h1> <div id="p-lang-btn" class="vector-dropdown mw-portlet mw-portlet-lang" > <input type="checkbox" id="p-lang-btn-checkbox" role="button" aria-haspopup="true" data-event-name="ui.dropdown-p-lang-btn" class="vector-dropdown-checkbox mw-interlanguage-selector" aria-label="Go to an article in another language. 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class="noprint">From Wikipedia, the free encyclopedia</div> </div> <div id="contentSub"><div id="mw-content-subtitle"></div></div> <div id="mw-content-text" class="mw-body-content"><div class="mw-content-ltr mw-parser-output" lang="en" dir="ltr"><style data-mw-deduplicate="TemplateStyles:r1236090951">.mw-parser-output .hatnote{font-style:italic}.mw-parser-output div.hatnote{padding-left:1.6em;margin-bottom:0.5em}.mw-parser-output .hatnote i{font-style:normal}.mw-parser-output .hatnote+link+.hatnote{margin-top:-0.5em}@media print{body.ns-0 .mw-parser-output .hatnote{display:none!important}}</style><div role="note" class="hatnote navigation-not-searchable">This article is about oversampling in signal processing. For oversampling in data analysis, see <a href="/wiki/Oversampling_and_undersampling_in_data_analysis" title="Oversampling and undersampling in data analysis">Oversampling and undersampling in data analysis</a>.</div> <div class="shortdescription nomobile noexcerpt noprint searchaux" style="display:none">Sampling higher than the Nyquist rate</div> <p class="mw-empty-elt"> </p><p>In <a href="/wiki/Signal_processing" title="Signal processing">signal processing</a>, <b>oversampling</b> is the process of <a href="/wiki/Sampling_(signal_processing)" title="Sampling (signal processing)">sampling</a> a signal at a sampling frequency significantly higher than the <a href="/wiki/Nyquist_rate" title="Nyquist rate">Nyquist rate</a>. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it. The Nyquist rate is defined as twice the <a href="/wiki/Bandwidth_(signal_processing)" title="Bandwidth (signal processing)">bandwidth</a> of the signal. Oversampling is capable of improving <a href="/wiki/Resolution_(audio)" class="mw-redirect" title="Resolution (audio)">resolution</a> and <a href="/wiki/Signal-to-noise_ratio" title="Signal-to-noise ratio">signal-to-noise ratio</a>, and can be helpful in avoiding <a href="/wiki/Aliasing" title="Aliasing">aliasing</a> and <a href="/wiki/Phase_distortion" title="Phase distortion">phase distortion</a> by relaxing <a href="/wiki/Anti-aliasing_filter" title="Anti-aliasing filter">anti-aliasing filter</a> performance requirements. </p><p>A signal is said to be oversampled by a factor of <i>N</i> if it is sampled at <i>N</i> times the Nyquist rate. </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="Motivation">Motivation</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=1" title="Edit section: Motivation"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>There are three main reasons for performing oversampling: to improve anti-aliasing performance, to increase resolution and to reduce noise. </p> <div class="mw-heading mw-heading3"><h3 id="Anti-aliasing">Anti-aliasing</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=2" title="Edit section: Anti-aliasing"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Oversampling can make it easier to realize analog <a href="/wiki/Anti-aliasing_filter" title="Anti-aliasing filter">anti-aliasing filters</a>.<sup id="cite_ref-AD-oversample_1-0" class="reference"><a href="#cite_note-AD-oversample-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> Without oversampling, it is very difficult to implement filters with the sharp cutoff necessary to maximize use of the available bandwidth without exceeding the <a href="/wiki/Nyquist_limit" class="mw-redirect" title="Nyquist limit">Nyquist limit</a>. By increasing the bandwidth of the sampling system, design constraints for the anti-aliasing filter may be relaxed.<sup id="cite_ref-2" class="reference"><a href="#cite_note-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> Once sampled, the signal can be <a href="/wiki/Digital_filter" title="Digital filter">digitally filtered</a> and <a href="/wiki/Downsampled" class="mw-redirect" title="Downsampled">downsampled</a> to the desired sampling frequency. In modern <a href="/wiki/Integrated_circuit" title="Integrated circuit">integrated circuit</a> technology, the digital filter associated with this downsampling is easier to implement than a comparable <a href="/wiki/Analog_filter" class="mw-redirect" title="Analog filter">analog filter</a> required by a non-oversampled system. </p> <div class="mw-heading mw-heading3"><h3 id="Resolution">Resolution</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=3" title="Edit section: Resolution"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>In practice, oversampling is implemented in order to reduce cost and improve performance of an <a href="/wiki/Analog-to-digital_converter" title="Analog-to-digital converter">analog-to-digital converter</a> (ADC) or <a href="/wiki/Digital-to-analog_converter" title="Digital-to-analog converter">digital-to-analog converter</a> (DAC).<sup id="cite_ref-AD-oversample_1-1" class="reference"><a href="#cite_note-AD-oversample-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> When oversampling by a factor of N, the <a href="/wiki/Dynamic_range" title="Dynamic range">dynamic range</a> also increases a factor of N because there are N times as many possible values for the sum. However, the signal-to-noise ratio (SNR) increases by <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\sqrt {N}}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <msqrt> <mi>N</mi> </msqrt> </mrow> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\sqrt {N}}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/7b3d8948b2c154ccc7f7523b035ae7e254e04190" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.671ex; width:3.999ex; height:3.009ex;" alt="{\displaystyle {\sqrt {N}}}"></span>, because summing up uncorrelated noise increases its amplitude by <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\sqrt {N}}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <msqrt> <mi>N</mi> </msqrt> </mrow> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\sqrt {N}}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/7b3d8948b2c154ccc7f7523b035ae7e254e04190" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.671ex; width:3.999ex; height:3.009ex;" alt="{\displaystyle {\sqrt {N}}}"></span>, while summing up a coherent signal increases its average by N. As a result, the SNR increases by <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\sqrt {N}}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <msqrt> <mi>N</mi> </msqrt> </mrow> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\sqrt {N}}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/7b3d8948b2c154ccc7f7523b035ae7e254e04190" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.671ex; width:3.999ex; height:3.009ex;" alt="{\displaystyle {\sqrt {N}}}"></span>. </p><p>For instance, to implement a 24-bit converter, it is sufficient to use a 20-bit converter that can run at 256 times the target sampling rate. Combining 256 consecutive 20-bit samples can increase the SNR by a factor of 16, effectively adding 4 bits to the resolution and producing a single sample with 24-bit resolution.<sup id="cite_ref-sillabs_3-0" class="reference"><a href="#cite_note-sillabs-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>a<span class="cite-bracket">]</span></a></sup> </p><p>The number of samples required to get <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle n}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mi>n</mi> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle n}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/a601995d55609f2d9f5e233e36fbe9ea26011b3b" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.338ex; width:1.395ex; height:1.676ex;" alt="{\displaystyle n}"></span> bits of additional data precision is </p> <dl><dd><span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\mbox{number of samples}}=(2^{n})^{2}=2^{2n}.}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="false" scriptlevel="0"> <mtext>number of samples</mtext> </mstyle> </mrow> <mo>=</mo> <mo stretchy="false">(</mo> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mi>n</mi> </mrow> </msup> <msup> <mo stretchy="false">)</mo> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> </mrow> </msup> <mo>=</mo> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> <mi>n</mi> </mrow> </msup> <mo>.</mo> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\mbox{number of samples}}=(2^{n})^{2}=2^{2n}.}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/ebe6fc8c74b5dd9cf9f9d35fc3981bba6fc0924b" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.838ex; width:33.987ex; height:3.176ex;" alt="{\displaystyle {\mbox{number of samples}}=(2^{n})^{2}=2^{2n}.}"></span></dd></dl> <p>To get the mean sample scaled up to an integer with <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle n}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mi>n</mi> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle n}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/a601995d55609f2d9f5e233e36fbe9ea26011b3b" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.338ex; width:1.395ex; height:1.676ex;" alt="{\displaystyle n}"></span> additional bits, the sum of <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle 2^{2n}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> <mi>n</mi> </mrow> </msup> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle 2^{2n}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/85543d7c2b7e0fea744a50af20d0f58b0f0fcfb3" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.338ex; width:3.203ex; height:2.676ex;" alt="{\displaystyle 2^{2n}}"></span> samples is divided by <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle 2^{n}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mi>n</mi> </mrow> </msup> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle 2^{n}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/8226f30650ee4fe4e640c6d2798127e80e9c160d" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.338ex; width:2.381ex; height:2.343ex;" alt="{\displaystyle 2^{n}}"></span>: </p> <dl><dd><span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\mbox{scaled mean}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}2^{n}{\text{data}}_{i}}{2^{2n}}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}{\text{data}}_{i}}{2^{n}}}.}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="false" scriptlevel="0"> <mtext>scaled mean</mtext> </mstyle> </mrow> <mo>=</mo> <mrow class="MJX-TeXAtom-ORD"> <mfrac> <mrow> <munderover> <mo movablelimits="false">∑<!-- ∑ --></mo> <mrow class="MJX-TeXAtom-ORD"> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow class="MJX-TeXAtom-ORD"> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> <mi>n</mi> </mrow> </msup> <mo>−<!-- − --></mo> <mn>1</mn> </mrow> </munderover> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mi>n</mi> </mrow> </msup> <msub> <mrow class="MJX-TeXAtom-ORD"> <mtext>data</mtext> </mrow> <mrow class="MJX-TeXAtom-ORD"> <mi>i</mi> </mrow> </msub> </mrow> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> <mi>n</mi> </mrow> </msup> </mfrac> </mrow> <mo>=</mo> <mrow class="MJX-TeXAtom-ORD"> <mfrac> <mrow> <munderover> <mo movablelimits="false">∑<!-- ∑ --></mo> <mrow class="MJX-TeXAtom-ORD"> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow class="MJX-TeXAtom-ORD"> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mn>2</mn> <mi>n</mi> </mrow> </msup> <mo>−<!-- − --></mo> <mn>1</mn> </mrow> </munderover> <msub> <mrow class="MJX-TeXAtom-ORD"> <mtext>data</mtext> </mrow> <mrow class="MJX-TeXAtom-ORD"> <mi>i</mi> </mrow> </msub> </mrow> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mi>n</mi> </mrow> </msup> </mfrac> </mrow> <mo>.</mo> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\mbox{scaled mean}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}2^{n}{\text{data}}_{i}}{2^{2n}}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}{\text{data}}_{i}}{2^{n}}}.}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/908fa00d3910303e5b5a8e95345de2d114ea1df2" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -2.338ex; width:43.511ex; height:10.009ex;" alt="{\displaystyle {\mbox{scaled mean}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}2^{n}{\text{data}}_{i}}{2^{2n}}}={\frac {\sum \limits _{i=0}^{2^{2n}-1}{\text{data}}_{i}}{2^{n}}}.}"></span></dd></dl> <p>This averaging is only effective if the <a href="/wiki/Signal" title="Signal">signal</a> contains sufficient <a href="/wiki/Uncorrelated_noise" title="Uncorrelated noise">uncorrelated noise</a> to be recorded by the ADC.<sup id="cite_ref-sillabs_3-1" class="reference"><a href="#cite_note-sillabs-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> If not, in the case of a stationary input signal, all <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle 2^{n}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <msup> <mn>2</mn> <mrow class="MJX-TeXAtom-ORD"> <mi>n</mi> </mrow> </msup> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle 2^{n}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/8226f30650ee4fe4e640c6d2798127e80e9c160d" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.338ex; width:2.381ex; height:2.343ex;" alt="{\displaystyle 2^{n}}"></span> samples would have the same value and the resulting average would be identical to this value; so in this case, oversampling would have made no improvement. In similar cases where the ADC records no noise and the input signal is changing over time, oversampling improves the result, but to an inconsistent and unpredictable extent. </p><p>Adding some <a href="/wiki/Dither" title="Dither">dithering</a> noise to the input signal can actually improve the final result because the dither noise allows oversampling to work to improve resolution. In many practical applications, a small increase in noise is well worth a substantial increase in measurement resolution. In practice, the dithering noise can often be placed outside the frequency range of interest to the measurement, so that this noise can be subsequently filtered out in the digital domain—resulting in a final measurement, in the frequency range of interest, with both higher resolution and lower noise.<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Noise">Noise</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=4" title="Edit section: Noise"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>If multiple samples are taken of the same quantity with uncorrelated noise<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>b<span class="cite-bracket">]</span></a></sup> added to each sample, then because, as discussed above, uncorrelated signals combine more weakly than correlated ones, averaging <i>N</i> samples reduces the <a href="/wiki/Noise_power" title="Noise power">noise power</a> by a factor of <i>N</i>. If, for example, we oversample by a factor of 4, the signal-to-noise ratio in terms of power improves by factor of four which corresponds to a factor of two improvement in terms of voltage. </p><p>Certain kinds of ADCs known as <a href="/wiki/Delta-sigma_converter" class="mw-redirect" title="Delta-sigma converter">delta-sigma converters</a> produce disproportionately more <a href="/wiki/Quantization_(signal_processing)" title="Quantization (signal processing)">quantization</a> noise at higher frequencies. By running these converters at some multiple of the target sampling rate, and <a href="/wiki/Low-pass_filter" title="Low-pass filter">low-pass filtering</a> the oversampled signal down to half the target sampling rate, a final result with <i>less</i> noise (over the entire band of the converter) can be obtained. Delta-sigma converters use a technique called <a href="/wiki/Noise_shaping" title="Noise shaping">noise shaping</a> to move the quantization noise to the higher frequencies. </p> <div class="mw-heading mw-heading2"><h2 id="Example">Example</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=5" title="Edit section: Example"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Consider a signal with a bandwidth or highest frequency of <i>B</i> = 100 <a href="/wiki/Hz" class="mw-redirect" title="Hz">Hz</a>. The <a href="/wiki/Sampling_theorem" class="mw-redirect" title="Sampling theorem">sampling theorem</a> states that sampling frequency would have to be greater than 200 Hz. Sampling at four times that rate requires a sampling frequency of 800 Hz. This gives the anti-aliasing filter a <a href="/wiki/Transition_band" title="Transition band">transition band</a> of 300 Hz ((<i>f</i><sub>s</sub>/2) − <i>B</i> = (800 Hz/2) − 100 Hz = 300 Hz) instead of 0 Hz if the sampling frequency was 200 Hz. Achieving an anti-aliasing filter with 0 Hz transition band is unrealistic whereas an anti-aliasing filter with a transition band of 300 Hz is not difficult. </p> <div class="mw-heading mw-heading2"><h2 id="Reconstruction">Reconstruction</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=6" title="Edit section: Reconstruction"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The term oversampling is also used to denote a process used in the reconstruction phase of digital-to-analog conversion, in which an intermediate high sampling rate is used between the digital input and the analog output. Here, digital interpolation is used to add additional samples between recorded samples, thereby converting the data to a higher sample rate, a form of <a href="/wiki/Upsampling" title="Upsampling">upsampling</a>. When the resulting higher-rate samples are converted to analog, a less complex and less expensive analog <a href="/wiki/Reconstruction_filter" title="Reconstruction filter">reconstruction filter</a> is required. Essentially, this is a way to shift some of the complexity of reconstruction from analog to the digital domain. Oversampling in the ADC can achieve some of the same benefits as using a higher sample rate at the DAC. </p> <div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=7" title="Edit section: See also"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a href="/wiki/Oversampled_binary_image_sensor" title="Oversampled binary image sensor">Oversampled binary image sensor</a></li> <li><a href="/wiki/Supersampling" title="Supersampling">Supersampling</a></li> <li><a href="/wiki/Undersampling" title="Undersampling">Undersampling</a></li></ul> <div class="mw-heading mw-heading2"><h2 id="Notes">Notes</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=8" title="Edit section: Notes"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <style data-mw-deduplicate="TemplateStyles:r1239543626">.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}</style><div class="reflist reflist-lower-alpha"> <div class="mw-references-wrap"><ol class="references"> <li id="cite_note-4"><span class="mw-cite-backlink"><b><a href="#cite_ref-4">^</a></b></span> <span class="reference-text">While with N=256 there is an increase in dynamic range by 8 bits, and the level of coherent signal increases by a factor of N, the noise changes by a factor of <span class="mwe-math-element"><span class="mwe-math-mathml-inline mwe-math-mathml-a11y" style="display: none;"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle {\sqrt {N}}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0"> <mrow class="MJX-TeXAtom-ORD"> <msqrt> <mi>N</mi> </msqrt> </mrow> </mstyle> </mrow> <annotation encoding="application/x-tex">{\displaystyle {\sqrt {N}}}</annotation> </semantics> </math></span><img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/7b3d8948b2c154ccc7f7523b035ae7e254e04190" class="mwe-math-fallback-image-inline mw-invert skin-invert" aria-hidden="true" style="vertical-align: -0.671ex; width:3.999ex; height:3.009ex;" alt="{\displaystyle {\sqrt {N}}}"></span>=16, so the net SNR improves by a factor of 16, 4 bits or 24 dB.</span> </li> <li id="cite_note-6"><span class="mw-cite-backlink"><b><a href="#cite_ref-6">^</a></b></span> <span class="reference-text">A system's signal-to-noise ratio cannot necessarily be increased by simple oversampling since noise samples are partially correlated (only some portion of the noise due to sampling and analog-to-digital conversion will be uncorrelated).</span> </li> </ol></div></div> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=9" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239543626"><div class="reflist"> <div class="mw-references-wrap"><ol class="references"> <li id="cite_note-AD-oversample-1"><span class="mw-cite-backlink">^ <a href="#cite_ref-AD-oversample_1-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-AD-oversample_1-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite id="CITEREFKester" class="citation web cs1">Kester, Walt. <a rel="nofollow" class="external text" href="https://www.analog.com/media/en/training-seminars/tutorials/MT-017.pdf">"Oversampling Interpolating DACs"</a> <span class="cs1-format">(PDF)</span>. Analog Devices<span class="reference-accessdate">. Retrieved <span class="nowrap">17 January</span> 2015</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=unknown&rft.btitle=Oversampling+Interpolating+DACs&rft.pub=Analog+Devices&rft.aulast=Kester&rft.aufirst=Walt&rft_id=https%3A%2F%2Fwww.analog.com%2Fmedia%2Fen%2Ftraining-seminars%2Ftutorials%2FMT-017.pdf&rfr_id=info%3Asid%2Fen.wikipedia.org%3AOversampling" class="Z3988"></span></span> </li> <li id="cite_note-2"><span class="mw-cite-backlink"><b><a href="#cite_ref-2">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFNauman_Uppal2004" class="citation magazine cs1">Nauman Uppal (30 August 2004). <a rel="nofollow" class="external text" href="http://www.audioholics.com/education/audio-formats-technology/upsampling-vs-oversampling-for-digital-audio">"Upsampling vs. Oversampling for Digital Audio"</a>. <i><a href="/wiki/Audioholics" title="Audioholics">Audioholics</a></i><span class="reference-accessdate">. Retrieved <span class="nowrap">6 October</span> 2012</span>. <q>Without increasing the sample rate, we would need to design a very sharp filter that would have to cutoff [sic] at just past 20kHz and be 80-100dB down at 22kHz. Such a filter is not only very difficult and expensive to implement, but may sacrifice some of the audible spectrum in its <a href="/wiki/Roll-off" title="Roll-off">roll-off</a>.</q></cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.jtitle=Audioholics&rft.atitle=Upsampling+vs.+Oversampling+for+Digital+Audio&rft.date=2004-08-30&rft.au=Nauman+Uppal&rft_id=http%3A%2F%2Fwww.audioholics.com%2Feducation%2Faudio-formats-technology%2Fupsampling-vs-oversampling-for-digital-audio&rfr_id=info%3Asid%2Fen.wikipedia.org%3AOversampling" class="Z3988"></span></span> </li> <li id="cite_note-sillabs-3"><span class="mw-cite-backlink">^ <a href="#cite_ref-sillabs_3-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-sillabs_3-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.silabs.com/Support%20Documents/TechnicalDocs/an118.pdf">"Improving ADC Resolution by Oversampling and Averaging"</a> <span class="cs1-format">(PDF)</span>. Silicon Laboratories Inc<span class="reference-accessdate">. Retrieved <span class="nowrap">17 January</span> 2015</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=unknown&rft.btitle=Improving+ADC+Resolution+by+Oversampling+and+Averaging&rft.pub=Silicon+Laboratories+Inc&rft_id=https%3A%2F%2Fwww.silabs.com%2FSupport%2520Documents%2FTechnicalDocs%2Fan118.pdf&rfr_id=info%3Asid%2Fen.wikipedia.org%3AOversampling" class="Z3988"></span></span> </li> <li id="cite_note-5"><span class="mw-cite-backlink"><b><a href="#cite_ref-5">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFHolman2012" class="citation book cs1">Holman, Tomlinson (2012). <a rel="nofollow" class="external text" href="https://books.google.com/books?id=gazpAwAAQBAJ&pg=PA52"><i>Sound for Film and Television</i></a>. CRC Press. pp. 52–53. <a href="/wiki/ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <a href="/wiki/Special:BookSources/9781136046100" title="Special:BookSources/9781136046100"><bdi>9781136046100</bdi></a><span class="reference-accessdate">. Retrieved <span class="nowrap">4 February</span> 2019</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Sound+for+Film+and+Television&rft.pages=52-53&rft.pub=CRC+Press&rft.date=2012&rft.isbn=9781136046100&rft.aulast=Holman&rft.aufirst=Tomlinson&rft_id=https%3A%2F%2Fbooks.google.com%2Fbooks%3Fid%3DgazpAwAAQBAJ%26pg%3DPA52&rfr_id=info%3Asid%2Fen.wikipedia.org%3AOversampling" class="Z3988"></span></span> </li> </ol></div></div> <div class="mw-heading mw-heading2"><h2 id="Further_reading">Further reading</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Oversampling&action=edit&section=10" title="Edit section: Further reading"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFJohn_Watkinson1994" class="citation book cs1">John Watkinson (1994). <i>The Art of Digital Audio</i>. Focal Press. <a href="/wiki/ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <a href="/wiki/Special:BookSources/0-240-51320-7" title="Special:BookSources/0-240-51320-7"><bdi>0-240-51320-7</bdi></a>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=The+Art+of+Digital+Audio&rft.pub=Focal+Press&rft.date=1994&rft.isbn=0-240-51320-7&rft.au=John+Watkinson&rfr_id=info%3Asid%2Fen.wikipedia.org%3AOversampling" class="Z3988"></span></li></ul> <div class="navbox-styles"><style data-mw-deduplicate="TemplateStyles:r1129693374">.mw-parser-output .hlist dl,.mw-parser-output .hlist ol,.mw-parser-output .hlist ul{margin:0;padding:0}.mw-parser-output .hlist dd,.mw-parser-output .hlist dt,.mw-parser-output .hlist li{margin:0;display:inline}.mw-parser-output .hlist.inline,.mw-parser-output .hlist.inline dl,.mw-parser-output .hlist.inline ol,.mw-parser-output .hlist.inline ul,.mw-parser-output .hlist dl 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talk:Digital signal processing"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Digital_signal_processing" title="Special:EditPage/Template:Digital signal processing"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Digital_signal_processing" style="font-size:114%;margin:0 4em"><a href="/wiki/Digital_signal_processing" title="Digital signal processing">Digital signal processing</a></div></th></tr><tr><th scope="row" class="navbox-group" style="width:1%">Theory</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Detection_theory" title="Detection theory">Detection theory</a></li> <li><a href="/wiki/Discrete_time_and_continuous_time" title="Discrete time and continuous time">Discrete signal</a></li> <li><a href="/wiki/Estimation_theory" title="Estimation theory">Estimation theory</a></li> <li><a href="/wiki/Nyquist%E2%80%93Shannon_sampling_theorem" title="Nyquist–Shannon sampling theorem">Nyquist–Shannon sampling theorem</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Sub-fields</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Audio_signal_processing" title="Audio signal processing">Audio signal processing</a></li> <li><a href="/wiki/Digital_image_processing" title="Digital image processing">Digital image processing</a></li> <li><a href="/wiki/Speech_processing" title="Speech processing">Speech processing</a></li> <li><a href="/wiki/Statistical_signal_processing" class="mw-redirect" title="Statistical signal processing">Statistical signal processing</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Techniques</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Z-transform" title="Z-transform">Z-transform</a> <ul><li><a href="/wiki/Advanced_z-transform" title="Advanced z-transform">Advanced z-transform</a></li> <li><a href="/wiki/Matched_Z-transform_method" title="Matched Z-transform method">Matched Z-transform method</a></li></ul></li> <li><a href="/wiki/Bilinear_transform" title="Bilinear transform">Bilinear transform</a></li> <li><a href="/wiki/Constant-Q_transform" title="Constant-Q transform">Constant-Q transform</a></li> <li><a href="/wiki/Discrete_cosine_transform" title="Discrete cosine transform">Discrete cosine transform</a> (DCT)</li> <li><a href="/wiki/Discrete_Fourier_transform" title="Discrete Fourier transform">Discrete Fourier transform</a> (DFT)</li> <li><a href="/wiki/Discrete-time_Fourier_transform" title="Discrete-time Fourier transform">Discrete-time Fourier transform</a> (DTFT)</li> <li><a href="/wiki/Impulse_invariance" title="Impulse invariance">Impulse invariance</a></li> <li><a href="/wiki/Integral_transform" title="Integral transform">Integral transform</a></li> <li><a href="/wiki/Laplace_transform" title="Laplace transform">Laplace transform</a></li> <li><a href="/wiki/Post%27s_inversion_formula" class="mw-redirect" title="Post's inversion formula">Post's inversion formula</a></li> <li><a href="/wiki/Starred_transform" title="Starred transform">Starred transform</a></li> <li><a href="/wiki/Zak_transform" title="Zak transform">Zak transform</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Sampling_(signal_processing)" title="Sampling (signal processing)">Sampling</a></th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Aliasing" title="Aliasing">Aliasing</a></li> <li><a href="/wiki/Anti-aliasing_filter" title="Anti-aliasing filter">Anti-aliasing filter</a></li> <li><a href="/wiki/Downsampling_(signal_processing)" title="Downsampling (signal processing)">Downsampling</a></li> <li><a href="/wiki/Nyquist_rate" title="Nyquist rate">Nyquist rate</a> / <a href="/wiki/Nyquist_frequency" title="Nyquist frequency">frequency</a></li> <li><a class="mw-selflink selflink">Oversampling</a></li> <li><a href="/wiki/Quantization_(signal_processing)" title="Quantization (signal processing)">Quantization</a></li> <li><a href="/wiki/Sampling_rate" class="mw-redirect" title="Sampling rate">Sampling rate</a></li> <li><a href="/wiki/Undersampling" title="Undersampling">Undersampling</a></li> <li><a href="/wiki/Upsampling" title="Upsampling">Upsampling</a></li></ul> </div></td></tr></tbody></table></div> <!-- NewPP limit report Parsed by mw‐web.eqiad.main‐5dc468848‐c55jm Cached time: 20241122145432 Cache expiry: 2592000 Reduced expiry: false Complications: [vary‐revision‐sha1, show‐toc] CPU time usage: 0.255 seconds Real time usage: 0.421 seconds Preprocessor 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