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wp
Wavelet packet transform.
DESCRIPTION
This function computes a wavelet packet transform (computed by the complete
binary application of the DH and DG packet operators, as opposed to the
Mallat discrete wavelet transform which only recurses on the DH operator
[low pass]).
USAGE
wp(data, filter.number=10, family="DaubLeAsymm", verbose=F,
fsc=sqrt(2)/2)
REQUIRED ARGUMENTS
- data
- A vector containing the data you wish to decompose. The
length of this vector must be a power of 2.
OPTIONAL ARGUMENTS
- filter.number
- This selects the smoothness of wavelet that you
want to use in the decomposition. By default this is 10,
the Daubechies least-asymmetric orthonormal compactly supported wavelet
with 10 vanishing moments.
- family
- specifies the family of wavelets that you want to use.
The options are "DaubExPhase" and "DaubLeAsymm".
- verbose
- if
TRUE then (un)helpful messages are printed during the
execution.
- fsc
- a constant passed to the
constant argument of the
filter.select function.
VALUE
An object of class wp which contains the
(decimated) wavelet packet coefficients.
SIDE EFFECTS
None
DETAILS
The paper by Nason, Sapatinas and
Sawczenko, 1998 details this implementation of the wavelet packet
transform. A more thorough reference is
Wickerhauser, 1994.
RELEASE
Version 3.0 Copyright Guy Nason 1994
SEE ALSO
accessC.wp,
accessD.wp,
basisplot.wp,
draw.wp,
drawwp.default,
filter.select,
getpacket.wp,
InvBasis.wp,
MaNoVe.wp,
plot.wp,
print.wp,
putC.wp,
putD.wp,
putpacket.wp,
summary.wp,
threshold.wp,
wp object.
EXAMPLES
#
# EXAMPLE - see full example in help for plot.wp
#