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Practical time-frequency analysis : Gabor and wavelet transforms with an implementation in S / René Carmona, Wen-Liang Hwang, Bruno Torrésani.

By: Contributor(s): Series: Wavelet analysis and its applications ; v. 9.©1998Description: 1 online resource (490 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780080539423
  • 0080539424
Subject(s): Genre/Form: Additional physical formats: Print version:: Practical time-frequency analysis.LOC classification:
  • TK5102.9 .C34 1998eb
Online resources:
Contents:
Front Cover; Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S; Copyright Page; Contents; Part I: Background Material; Chapter 1. Time, Frequency, and Time-Frequency; Chapter 2. Spectral Theory of Stationary Random Processes: A Primer; Part II: Gabor and Wavelet Transforms; Chapter 3. The Continuous Gabor Transform; Chapter 4. The Continuous Wavelet Transform; Chapter 5. Discrete Time-Frequency Transforms and Algorithms; Part III: Signal Processing Applications; Chapter 6. Time-Frequency Analysis of Stochastic Processes.
Summary: Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presentation of the applications of these transforms to signal processing, emphasizing the continuous transforms and their applications to signal analysis problems, including estimation, denoising, detection, and synthesis. To help the reader perform these analyses, Practical Time-Frequency Analysis provi.
Item type: eBooks
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Includes bibliographical references (pages 441-469) and indexes.

Print version record.

Front Cover; Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S; Copyright Page; Contents; Part I: Background Material; Chapter 1. Time, Frequency, and Time-Frequency; Chapter 2. Spectral Theory of Stationary Random Processes: A Primer; Part II: Gabor and Wavelet Transforms; Chapter 3. The Continuous Gabor Transform; Chapter 4. The Continuous Wavelet Transform; Chapter 5. Discrete Time-Frequency Transforms and Algorithms; Part III: Signal Processing Applications; Chapter 6. Time-Frequency Analysis of Stochastic Processes.

Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presentation of the applications of these transforms to signal processing, emphasizing the continuous transforms and their applications to signal analysis problems, including estimation, denoising, detection, and synthesis. To help the reader perform these analyses, Practical Time-Frequency Analysis provi.

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