A Wavelet Tour of Signal Processing

Stephane Mallat

ISBN 10: 0124666051 / ISBN 13: 9780124666054

Published by Elsevier Science Publishing Co Inc, 1998

About this Item

This volume begins with a presentation of Fourier transform and then describes its failures for transient signal processing. It presents local time-frequency methods and the related mathematical tools. The book uses an intuitive approach to important mathematical results, and emphasizes practical applications rather than proofs. It describes numerical discreet algorithms as well as some applications to information processing, fractal analysis, noise removal, and compact signal coding. This work is intended for signal processing engineers who want to discover the potential applications of recent mathematical advances in time-frequency signal representations. Also of interest to researchers in applied mathematics, the book highlights the applications of these new techniques and also provides an overview of signal processing problems.

Seller Inventory # CIN0124666051VG

Bibliographic Details

• Title: A Wavelet Tour of Signal Processing
• Publisher: Elsevier Science Publishing Co Inc
• Publication Date: 1998
• Language: English
• ISBN 10: 0124666051
• ISBN 13: 9780124666054
• Binding: Hardback
• Condition: Very Good

About this title

Synopsis

A Wavelet Tour of Signal Processing begins with a presentation of the wonders of the Fourier transform, and then describes its failures for transient signal processing. It presents local time–frequency methods and the related mathematical tools. The book uses an intuitive approach to important mathematical results, and emphasizes practical applications rather than proofs. It describes numerical discrete algorithms as well as some applications to information processing, fractal analysis, noise removal, and compact signal coding.
A Wavelet Tour of Signal Processing is intended for signal processing engineers who want to discover the potential applications of recent mathematical advances in time–frequency signal representations. Of interest to researchers in applied mathematics, the book highlights the applications of these new techniques and also provides an overview of signal processing problems.

Emphasizes practical applications rather than proofs
Presents local time–frequency methods and the related mathematical tools
Uses an intuitive approach to important mathematical results

About the Author

Stéphane Mallat is a Professor in the Computer Science Department of the Courant Institute of Mathematical Sciences at New York University,and a Professor in the Applied Mathematics Department at ccole Polytechnique, Paris, France. He has been a visiting professor in the ElectricalEngineering Department at Massachusetts Institute of Technology and in the Applied Mathematics Department at the University of Tel Aviv. Dr. Mallat received the 1990 IEEE Signal Processing Society's paper award, the 1993 Alfred Sloan fellowship in Mathematics, the 1997Outstanding Achievement Award from the SPIE Optical Engineering Society, and the 1997 Blaise Pascal Prize in applied mathematics, from theFrench Academy of Sciences.