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FWT_AI

Average-Interpolating wavelet transform

Calling Sequence

wc = FWT_AI(x,L,D)

Parameters

Inputs:

x :

1-d signal; length(x) = 2^J

L :

coarsest resolution. L << J

D :

degree of polynomials for average interpolation

Outputs:

wc :

1-d wavelet transform of x

Description

FWT_AI implements a 1-d wavelet transform of data which arise as the outputs of boxcar integrators. The ideas are described in ``Smooth Wavelet Decompositions with Blocky Coefficient Kernels.'' See BlockyDemo and the directory Scripts/Blocky.

See also

Authors

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