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Wavelab Toolbox >> Wavelab Toolbox > Interpolating Refinements and Wavelet Transforms > IWT_AI

IWT_AI

Inverse transform, average-interpolating wavelets

Calling Sequence

x = IWT_AI(wc,L,D)

Parameters

Inputs:

wc :

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

L :

coarsest resolution. L << J

D :

degree of polynomials for average interpolation

Outputs:

x :

1-d signal reconstructed from wc

Description

IWT_AI implements a 1-d inverse 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.

Examples

wc=1:1024;
L=8;
D=10;
Beta=IWT_AI(wc,L,D);

See also

Authors

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