A Wavelet Tour of Signal Processing

Mallat, Stephane

ISBN 10: 0124666051 / ISBN 13: 9780124666054

Edité par Academic Press, 1998

A propos de cet article

Hardcover. NOT Ex-library. Very good condition. Clean pages and tight binding. Notes, Bibliography, Index. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona. N° de réf. du vendeur 529XQR0000VP

Détails bibliographiques

Titre : A Wavelet Tour of Signal Processing

Éditeur : Academic Press

Date d'édition : 1998

Reliure : Couverture rigide

Etat : VeryGood

A propos de ce titre

Synopsis :

Book by Mallat Stephane

Présentation de l'éditeur:

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and École
Polytechnique in Paris.

Key Features
* Provides a broad perspective on the principles and applications of transient signal processing with wavelets
* Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms
* Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection,
multifractal analysis, and time-varying frequency measurements
* Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet
* Content is accessible on several level of complexity, depending on the individual reader's needs
New to the Second Edition
* Optical flow calculation and video compression algorithms
* Image models with bounded variation functions
* Bayes and Minimax theories for signal estimation
* 200 pages rewritten and most illustrations redrawn
* More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics