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<html><head><title>R: Reconstruct from Dyadic Wavelet Transform Extrema</title>
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<table width="100%" summary="page for mrecons {Rwave}"><tr><td>mrecons {Rwave}</td><td align="right">R Documentation</td></tr></table>
<h2>Reconstruct from Dyadic Wavelet Transform Extrema</h2>
<h3>Description</h3>
<p>
Reconstruct from dyadic wavelet transform modulus extrema.
The reconstructed signal preserves locations and values at extrema.
</p>
<h3>Usage</h3>
<pre>
mrecons(extrema, filtername="Gaussian1", readflag=TRUE)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>extrema</code></td>
<td>
the extrema representation.
</td></tr>
<tr valign="top"><td><code>filtername</code></td>
<td>
filter used for dyadic wavelet transform.
</td></tr>
<tr valign="top"><td><code>readflag</code></td>
<td>
if set to T, read reconstruction kernel from precomputed file.
</td></tr>
</table>
<h3>Details</h3>
<p>
The reconstruction involves only the wavelet coefficients,
without taking care of the coarse scale component. The latter
may be added a posteriori.
</p>
<h3>Value</h3>
<p>
Structure containing
</p>
<table summary="R argblock">
<tr valign="top"><td><code>f</code></td>
<td>
the reconstructed signal.
</td></tr>
<tr valign="top"><td><code>g</code></td>
<td>
reconstructed signal plus mean of original signal.
</td></tr>
<tr valign="top"><td><code>h</code></td>
<td>
reconstructed signal plus coarse scale component of original 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="mw.html">mw</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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