A Wavelet Tour of Signal Processing: Sparse Mode

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(as of Oct 05, 2024 14:05:47 UTC – Details)

Mallat's book is the undisputed reference in this field: it is the only one that covers the essential material in such breadth and depth. – Laurent Demanet, Stanford University

The new edition of this classic book offers all the major concepts, techniques, and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The core concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while sparse representations in redundant dictionaries, super-resolution, and compressive sensing applications are covered.

Characteristics:

* Balances the presentation of mathematics with applications to signal processing.
* The algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox.

New in this edition

* Representations of sparse signals in dictionaries.
* Compression detection, super resolution and source separation
* Processing of geometric images with curves and bands.
* Wavelets for infographics with elevation on surfaces.
* Time-frequency audio noise processing and removal.
* Image compression with JPEG-2000
* New and updated exercises.

A Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, is an invaluable resource for researchers and R&D engineers who wish to apply theory in fields such as image processing, video processing and compression, biosensing, medical imaging, computer vision and communications engineering.

Stéphane Mallat is a professor of Applied Mathematics at the École Polytechnique in Paris, France. From 1986 to 1996 he was a professor at the Courant Institute for Mathematical Sciences at New York University, and from 2001 to 2007 he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book's publication. in 1999, including its application to JPEG 2000 and MPEG-4. Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox. Balances the presentation of mathematics with applications to signal processing.

Publisher ‏ : ‎ Academic Press; 3rd edition (December 25, 2008)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 832 pages
ISBN-10 ‏ : ‎ 0123743702
ISBN-13 ‏ : ‎ 978-0123743701
Item Weight ‏: ‎ 3.38 lbs
Dimensions: 7.4 x 1.8 x 9.4 inches