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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour of Signal Processing: The Sparse Way Hardback - 2008

by Stephane Mallat; Contribution by Gabriel Peyre

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The new edition of this classic book gives 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 the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms.

Reader reviews for A Wavelet Tour of Signal Processing: The Sparse Way

From the publisher

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 gives 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 the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.

Features:

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

New in this edition

* Sparse signal representations in dictionaries
* Compressive sensing, super-resolution and source separation
* Geometric image processing with curvelets and bandlets
* Wavelets for computer graphics with lifting on surfaces
* Time-frequency audio processing and denoising
* 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 wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.

Stephane Mallat is Professor in Applied Mathematics at cole Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.

Details

  • Title A Wavelet Tour of Signal Processing: The Sparse Way
  • Author Stephane Mallat; Contribution by Gabriel Peyre
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Pages 832
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2008-11-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9780123743701 / 0123743702
  • Weight 3.35 lbs (1.52 kg)
  • Dimensions 9.4 x 7.4 x 1.8 in (23.88 x 18.80 x 4.57 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Signal processing - Mathematics, Wavelets (Mathematics)
  • Dewey Decimal Code 621.382

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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour of Signal Processing: The Sparse Way

by Mallat, Stephane

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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour of Signal Processing: The Sparse Way

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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour of Signal Processing: The Sparse Way

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A Wavelet Tour of Signal Processing: The Sparse Way

A Wavelet Tour of Signal Processing: The Sparse Way

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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour Of Signal Processing, Third Edition
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A Wavelet Tour Of Signal Processing, Third Edition

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A Wavelet Tour of Signal Processing
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by Stephane Mallat

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A Wavelet Tour of Signal Processing: The Sparse Way
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A Wavelet Tour of Signal Processing: The Sparse Way

by Mallat, Stephane

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