Average-Interpolating wavelet transform
wc = FWT_AI(x,L,D)
1-d signal; length(x) = 2^J
coarsest resolution. L << J
degree of polynomials for average interpolation
1-d wavelet transform of x
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.