Chapter 1 Wavelets: nonlinear processing in multiscale sparsity
Chapter 2 Wavelet building blocks
Chapter 3 Using lifting for the design of a wavelet transform
Chapter 4 Wavelet transforms from factored refinement schemes
Chapter 5 Dyadic wavelets
Chapter 6 Dyadic wavelet design in the frequency domain
Chapter 7 Design of dyadic wavelets
Chapter 8 Approximation in a wavelet basis
Chapter 9 Overcomplete wavelet transforms
Chapter 10 Two-dimensional wavelet transforms
Chapter 11 The multiscale local polynomial transform
Chapter 12 Estimation in a wavelet basis
Outlook
References
Subject Index
List of Recurrent symbols
Biography
Maarten Jansen is professor at the Mathematics and Computer Science departments of the Université libre de Bruxelles.
"The book is a very much welcome addition to the vast literature on wavelets... Overall, the text is a very handy account of more modern take on wavelets with some statistical flavour. It can serve as a good textbook on wavelets or become a valuable reference companion given that one spends enough time on an initial, systematic study of the contents."
Krzysztof Podgórski, Lund University, Sweden, International Statistical Review, 2022.
