On the Distributions of Optimized Multiscale Representations
MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
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Adapted wavelet analysis of signals is achieved by optimizing a selected criterion. We recently introduced a majorization framework for constructing selection functionals, which can be as well suited to compression as entropy or others. We show how these functionals operate on the basis selection and their effect on the statistics of the resulting representation.
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