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<div class="title">SignalProcessing<div class="ingroups"><a class="el" href="group__Analysis.html">Analysis</a></div></div>  </div>
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<p>Signal processing classes (noise estimation, noise filters, basline filters)  
<a href="#details">More...</a></p>
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Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1MorphologicalFilter.html">MorphologicalFilter</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class implements baseline filtering operations using methods from mathematical morphology.  <a href="classOpenMS_1_1MorphologicalFilter.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1InternalCalibration.html">InternalCalibration</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">A simple calibration method using linear interpolation of given reference masses.  <a href="classOpenMS_1_1InternalCalibration.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1TOFCalibration.html">TOFCalibration</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class implements an external calibration for TOF data using external calibrant spectra.  <a href="classOpenMS_1_1TOFCalibration.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1SignalToNoiseEstimatorMeanIterative.html">SignalToNoiseEstimatorMeanIterative&lt; Container &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Estimates the signal/noise (S/N) ratio of each data point in a scan based on an iterative scheme which discards high intensities.  <a href="classOpenMS_1_1SignalToNoiseEstimatorMeanIterative.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1SignalToNoiseEstimatorMedian.html">SignalToNoiseEstimatorMedian&lt; Container &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Estimates the signal/noise (S/N) ratio of each data point in a scan by using the median (histogram based)  <a href="classOpenMS_1_1SignalToNoiseEstimatorMedian.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1GaussFilter.html">GaussFilter</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents a Gaussian lowpass-filter which works on uniform as well as on non-uniform profile data.  <a href="classOpenMS_1_1GaussFilter.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1GaussFilterAlgorithm.html">GaussFilterAlgorithm</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents a Gaussian lowpass-filter which works on uniform as well as on non-uniform profile data.  <a href="classOpenMS_1_1GaussFilterAlgorithm.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1LowessSmoothing.html">LowessSmoothing</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">LOWESS (locally weighted scatterplot smoothing).  <a href="classOpenMS_1_1LowessSmoothing.html#details">More...</a><br/></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classOpenMS_1_1SavitzkyGolayFilter.html">SavitzkyGolayFilter</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the Savitzky-Golay filter coefficients using QR decomposition.  <a href="classOpenMS_1_1SavitzkyGolayFilter.html#details">More...</a><br/></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Signal processing classes (noise estimation, noise filters, basline filters) </p>
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<TD><font color="#c0c0c0">OpenMS / TOPP release 1.11.1</font></TD>
<TD align="right"><font color="#c0c0c0">Documentation generated on Thu Nov 14 2013 11:19:25 using doxygen 1.8.5</font></TD>
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