plot.dwt.2d

Organizes the wavelet coefficients from a 2D DWT into a single matrix and
plots it. The coarser resolutions are nested within the lower-lefthand
corner of the image.

Basic wavelet routines for time series (1D), image (2D) and array
(3D) analysis.  The code provided here is based on wavelet methodology
developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001);
the dual-tree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as
implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002).
All figures in chapters 4-7 of GSW (2001) are reproducible using this package
and R code available at the book website(s) below.

Brandon Whitcher

waveslim

Basic Wavelet Routines for One-, Two-, and Three-Dimensional
Signal Processing

plot.dwt.2d function

<dl><dt>x</dt>
<dd>input matrix (image)</dd>
<dt>cex.axis</dt>
<dd><code>par</code> plotting parameter that controls the size of the
axis text</dd>
<dt>plot</dt>
<dd>if <code>plot = FALSE</code> then the matrix of wavelet coefficients
is returned, the default is <code>plot = TRUE</code></dd>
<dt>...</dt>
<dd>additional graphical parameters if necessary</dd></dl>

Arguments

Author

Plot Two-dimensional Discrete Wavelet Transform — plot.dwt.2d

<dl>

<dt>x</dt>
<dd>input matrix (image)</dd>


<dt>cex.axis</dt>
<dd><code>par</code> plotting parameter that controls the size of the
axis text</dd>


<dt>plot</dt>
<dd>if <code>plot = FALSE</code> then the matrix of wavelet coefficients
is returned, the default is <code>plot = TRUE</code></dd>


<dt>...</dt>
<dd>additional graphical parameters if necessary</dd>

</dl>

plot.dwt.2d: Plot Two-dimensional Discrete Wavelet Transform

Description

Usage

Value

Arguments

Author

Details

See Also