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- <title>findpeaks</title>
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-
- <br /><br />
- <div class="refnamediv"><h1 class="refname">findpeaks</h1>
- <p class="refpurpose">This function find peaks on DATA.</p></div>
-
-
-<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
- <div class="synopsis"><pre><span class="default">[</span><span class="default">PKS</span><span class="default">, </span><span class="default">LOC</span><span class="default">, </span><span class="default">EXTRA</span><span class="default">] = </span><span class="functionid">findpeaks</span><span class="default">(</span><span class="default">DATA</span><span class="default">)</span>
-<span class="default">[</span><span class="default">PKS</span><span class="default">, </span><span class="default">LOC</span><span class="default">, </span><span class="default">EXTRA</span><span class="default">] = </span><span class="functionid">findpeaks</span><span class="default">(..., </span><span class="default">PROPERTY</span><span class="default">, </span><span class="default">VALUE</span><span class="default">)</span>
-<span class="default">[</span><span class="default">PKS</span><span class="default">, </span><span class="default">LOC</span><span class="default">, </span><span class="default">EXTRA</span><span class="default">] = </span><span class="functionid">findpeaks</span><span class="default">(..., </span>&#0034;<span class="default">DoubleSided</span>&#0034;<span class="default">)</span></pre></div></div>
-
-<div class="refsection"><h3 class="title">Description</h3>
- <p class="para">Peaks of a positive array of data are defined as local maxima. For double-sided data, they are maxima of the positive part and minima of the negative part. DATA is expected to be a single column vector.</p>
- <p class="para">The function returns the value of DATA at the peaks in PKS. The index indicating their position is returned in LOC.</p>
- <p class="para">The third output argument is a structure with additional information:</p>
- <p class="para">&#0034;parabol&#0034;:
-A structure containing the parabola fitted to each returned peak. The structure has two fields, &#0034;x&#0034; and &#0034;pp&#0034;. The field &#0034;pp&#0034; contains the coefficients of the 2nd degree polynomial and &#0034;x&#0034; the extrema of the intercal here it was fitted.</p>
- <p class="para">&#0034;height&#0034;:
-The estimated height of the returned peaks (in units of DATA).</p>
- <p class="para">&#0034;baseline&#0034;:
-The height at which the roots of the returned peaks were calculated (in units of DATA).</p>
- <p class="para">&#0034;roots&#0034;:
-The abscissa values (in index units) at which the parabola fitted to each of the returned peaks crosses the &#0034;baseline&#0034; value. The width of the peak is calculated by &#0039;diff(roots)&#0039;.</p>
- <p class="para">This function accepts property-value pair given in the list below:</p>
- <p class="para">&#0034;MinPeakHeight&#0034;:
-Minimum peak height (positive scalar). Only peaks that exceed this value will be returned. For data taking positive and negative values use the option &#0034;DoubleSided&#0034;. Default value &#0039;2*std (abs (detrend (data,0)))&#0039;.</p>
- <p class="para">&#0034;MinPeakDistance&#0034;:
-Minimum separation between (positive integer). Peaks separated by less than this distance are considered a single peak. This distance is also used to fit a second order polynomial to the peaks to estimate their width, therefore it acts as a smoothing parameter. Default value 4.</p>
- <p class="para">&#0034;MinPeakWidth&#0034;:
-Minimum width of peaks (positive integer). The width of the peaks is estimated using a parabola fitted to the neighborhood of each peak. The neighborhood size is equal to the value of &#0034;MinPeakDistance&#0034;. The width is evaluated at the half height of the peak with baseline at &#0034;MinPeakHeight&#0034;. Default value 2.</p>
- <p class="para">&#0034;DoubleSided&#0034;:
-Tells the function that data takes positive and negative values. The base-line for the peaks is taken as the mean value of the function. This is equivalent as passing the absolute value of the data after removing the mean.</p></div>
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