av.basis

Note: that this function is not for direct user use. This function
is a helper routine for the <code>AvBasis.wst</code> function which is
the one that should be used by users.
This function works by recursion, essentially it merges the current
levels C coefficients from one packet shift with its associated
D coefficients, does the same for the other packet shift and then
averages the two reconstructions to provide the C coefficients for
the next level up.

manip

Performs 1, 2 and 3D real and complex-valued wavelet transforms,
nondecimated transforms, wavelet packet transforms, nondecimated
wavelet packet transforms, multiple wavelet transforms,
complex-valued wavelet transforms, wavelet shrinkage for
various kinds of data, locally stationary wavelet time series,
nonstationary multiscale transfer function modeling, density
estimation.

Guy Nason

wavethresh

Wavelets Statistics and Transforms

Stuart Barber

Tim Downie

Piotr Frylewicz

Arne Kovac

Todd Ogden

Bernard Silverman

av.basis function

<dl><dt>wst</dt>
<dd>The <code>wst.object</code> that you wish to basis average</dd><dt>level</dt>
<dd>The resolution level the function is currently operating at</dd><dt>ix1</dt>
<dd>Which "left" packet in the level you are accessing</dd><dt>ix2</dt>
<dd>Which "right" packet</dd><dt>filter</dt>
<dd>The wavelet filter details, see <code>filter.select</code></dd></dl>

Arguments

Author

Perform basis averaging for wst class object — av.basis

<dl>

<dt>wst</dt>
<dd>The <code>wst.object</code> that you wish to basis average</dd>

<dt>level</dt>
<dd>The resolution level the function is currently operating at</dd>

<dt>ix1</dt>
<dd>Which "left" packet in the level you are accessing</dd>

<dt>ix2</dt>
<dd>Which "right" packet</dd>

<dt>filter</dt>
<dd>The wavelet filter details, see <code>filter.select</code></dd>

</dl>

Perform basis averaging for wst class object

av.basis: Perform basis averaging for wst class object

Description

Usage

Value

Arguments

Author

Details

See Also