Such wavelets can be adapted to intervals, domains, surfaces, weights, and irregular samples. We show how the lifting scheme leads to a faster, in-place calculation of the wavelet transform. Several examples are included.
Wavelets form a versatile tool for representing general functions or data sets.
Essentially we can think of them as data building blocks. Doc 69 Wavelets on closed subsets of the real line - Andersson, Hall et al. Doc 62 Wavelet transforms that map integers to integers - Calderbank, Daubechies et al. Doc 39 Existence and global regularity of solutions - Daubechies, Lagarias et al. Doc 34 wavelets and fast algorithms on an interval - Cohen, Daubechies et al.