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<html><head><title>R: Trim Dyadic Wavelet Transform Extrema</title>
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<table width="100%" summary="page for mbtrim {Rwave}"><tr><td>mbtrim {Rwave}</td><td align="right">R Documentation</td></tr></table>
<h2>Trim Dyadic Wavelet Transform Extrema</h2>
<h3>Description</h3>
<p>
Trimming of dyadic wavelet transform local extrema, using
bootstrapping.
</p>
<h3>Usage</h3>
<pre>
mbtrim(extrema, scale=FALSE, prct=0.95)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>extrema</code></td>
<td>
dyadic wavelet transform extrema (output of <code><a href="ext.html">ext</a></code>).
</td></tr>
<tr valign="top"><td><code>scale</code></td>
<td>
when set, the wavelet transform at each scale will be plotted
with the same scale.
</td></tr>
<tr valign="top"><td><code>prct</code></td>
<td>
</td></tr>
</table>
<h3>Details</h3>
<p>
The distribution of extrema of dyadic wavelet transform at each scale is
generated by bootstrap method, and the 95% critical value is used for
thresholding the extrema of the signal.
</p>
<h3>Value</h3>
<p>
Structure containing
</p>
<table summary="R argblock">
<tr valign="top"><td><code>original</code></td>
<td>
original signal.
</td></tr>
<tr valign="top"><td><code>extrema</code></td>
<td>
trimmed extrema representation.
</td></tr>
<tr valign="top"><td><code>Sf</code></td>
<td>
coarse resolution of signal.
</td></tr>
<tr valign="top"><td><code>maxresoln</code></td>
<td>
number of decomposition scales.
</td></tr>
<tr valign="top"><td><code>np</code></td>
<td>
size of signal.
</td></tr>
</table>
<h3>References</h3>
<p>
See discussions in the text of ``Practical Time-Frequency Analysis''.
</p>
<h3>See Also</h3>
<p>
<code><a href="mntrim.html">mntrim</a></code>, <code><a href="mrecons.html">mrecons</a></code>, <code><a href="ext.html">ext</a></code>.
</p>
<hr><div align="center">[Package <em>Rwave</em> version 1.24 <a href="00Index.html">Index]</a></div>
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