René Carmona, Wen-Liang Hwang and Bruno Torrésani (Eds.)9780121601706, 0121601706
Key Features
* Detailed presentation of the Wavelet and Gabor transforms
* Applications to deterministic and random signal theory
* Spectral analysis of nonstationary signals and processes
* Numerous practical examples ranging from speech analysis to underwater acoustics, earthquake engineering, internet traffic, radar signal denoising, medical data interpretation, etc
* Accompanying software and data sets, freely downloadable from the book’s Web page
Table of contents :
Content:
Preface
Page 5
Ingrid Daubechies
Reader’s guide
Pages 7-10
List of figures
Pages 17-23
Chapter 1 Time, frequency, and time-frequency Original Research Article
Pages 27-65
Chapter 2 Spectral theory of stationary random processes: A primer Original Research Article
Pages 67-98
Chapter 3 The continuous Gabor transform Original Research Article
Pages 101-128
Chapter 4 The continuous wavelet transform Original Research Article
Pages 129-161
Chapter 5 Discrete time-frequency transforms and algorithms Original Research Article
Pages 163-218
Chapter 6 Time-frequency analysis of stochastic processes Original Research Article
Pages 221-270
Chapter 7 Analysis of frequency modulated signals Original Research Article
Pages 271-308
Chapter 8 Statistical reconstructions Original Research Article
Pages 309-353
Chapter 9 Downloading and installing the Swave package Original Research Article
Pages 357-359
Chapter 10 The Swave S functions Original Research Article
Pages 361-408
Chapter 11 The Swave S utilities Original Research Article
Pages 409-438
General references
Pages 441-464
Wavelet books
Pages 465-468
Splus books
Page 469
Notation index
Pages 473-475
Author index
Pages 477-479
S functions and utilities
Pages 481-482
Subject index
Pages 483-490
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