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<html><head><title>R: Continuous Gabor Transform</title>
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<table width="100%" summary="page for cgt {Rwave}"><tr><td>cgt {Rwave}</td><td align="right">R Documentation</td></tr></table>
<h2>Continuous Gabor Transform</h2>
<h3>Description</h3>
<p>
Computes the continuous Gabor transform with Gaussian window.
</p>
<h3>Usage</h3>
<pre>
cgt(input, nvoice, freqstep=(1/nvoice), scale=1, plot=TRUE)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>input</code></td>
<td>
input signal (possibly complex-valued).
</td></tr>
<tr valign="top"><td><code>nvoice</code></td>
<td>
number of frequencies for which gabor transform
is to be computed.
</td></tr>
<tr valign="top"><td><code>freqstep</code></td>
<td>
Sampling rate for the frequency axis.
</td></tr>
<tr valign="top"><td><code>scale</code></td>
<td>
Size parameter for the window.
</td></tr>
<tr valign="top"><td><code>plot</code></td>
<td>
logical variable set to TRUE to display the modulus of the
continuous gabor transform on the graphic device.
</td></tr>
</table>
<h3>Details</h3>
<p>
The output contains the (complex) values of the gabor transform of the
input signal. The format of the output is
a 2D array (signal_size x nb_scales).
</p>
<h3>Value</h3>
<p>
continuous (complex) gabor transform (2D array).</p>
<h3>Warning</h3>
<p>
freqstep must be less than 1/nvoice to avoid aliasing. freqstep=1/nvoice
corresponds to the Nyquist limit.
</p>
<h3>References</h3>
<p>
See discussion in text of ``Practical Time-Frequency Analysis''.
</p>
<h3>See Also</h3>
<p>
<code><a href="cwt.html">cwt</a></code>, <code><a href="cwtp.html">cwtp</a></code>, <code><a href="dog.html">DOG</a></code> for continuous wavelet transforms.
<code><a href="cwtsquiz.html">cwtsquiz</a></code> for synchrosqueezed wavelet transform.
</p>
<hr><div align="center">[Package <em>Rwave</em> version 1.24 <a href="00Index.html">Index]</a></div>
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