brick.wall

dwpt.brick.wall

brick.wall.2d

Sets the first \(n\) wavelet coefficients to <code>NA</code>.

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

brick.wall function

<dl><dt>x</dt>
<dd>DWT/MODWT/DWPT/MODWPT object</dd>
<dt>wf</dt>
<dd>Character string; name of wavelet filter</dd>
<dt>method</dt>
<dd>Either <code>dwt</code> or <code>modwt</code> for
<code>brick.wall</code>, or either <code>dwpt</code> or <code>modwpt</code> for
<code>dwpt.brick.wall</code></dd>
<dt>n.levels</dt>
<dd>Specifies the depth of the decomposition. This must be a
number less than or equal to log(length(x),2).</dd></dl>

Arguments

Author

Replace Boundary Wavelet Coefficients with Missing Values — brick.wall

<dl>

<dt>x</dt>
<dd>DWT/MODWT/DWPT/MODWPT object</dd>


<dt>wf</dt>
<dd>Character string; name of wavelet filter</dd>


<dt>method</dt>
<dd>Either <code>dwt</code> or <code>modwt</code> for
<code>brick.wall</code>, or either <code>dwpt</code> or <code>modwpt</code> for
<code>dwpt.brick.wall</code></dd>


<dt>n.levels</dt>
<dd>Specifies the depth of the decomposition. This must be a
number less than or equal to log(length(x),2).</dd>

</dl>

brick.wall: Replace Boundary Wavelet Coefficients with Missing Values

Description

Usage

Value

Arguments

Author

Details

References