On the distributions of optimized multiscale representations
Adapted wavelet analysis of signals is achieved by optimizing a selected criterion. We previously introduced a majorization framework for constructing selection functionals, which can be as well suited to compression as to entropy or other methods. We show how these functionals operate on the basis selection and their effect on the statistics of the resulting representation.