Inverse transform, average-interpolating wavelets
x = IWT_AI(wc,L,D)
1-d wavelet transform; length(x) = 2^J
coarsest resolution. L << J
degree of polynomials for average interpolation
1-d signal reconstructed from wc
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.