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.

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

package-ubuntu-20.04-r-4.0.5#cran#waveslim-1.8.2

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>vector of observations</p>
</td>
</tr>
<tr valign="top">
<td><code>f</code></td>
<td>
<p>frequency of upsampling; e.g, 2, 4, etc.</p>
</td>
</tr>
<tr valign="top">
<td><code>y</code></td>
<td>
<p>value to upsample with; e.g., NA, 0, etc.</p>
</td>
</tr>
</table>

<p>Any basic signal processing text.
</p>

package-ubuntu-20.04-r-4.0.5#cran#waveslim-1.8.2#docs#up.sample

up.sample

Description

Usage

Arguments

Value

Author(s)

References

waveslim

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`x`	vector of observations
`f`	frequency of upsampling; e.g, 2, 4, etc.
`y`	value to upsample with; e.g., NA, 0, etc.