Applications in Time-Frequency Signal Processing: 1st Edition (Hardback) book cover

Applications in Time-Frequency Signal Processing

1st Edition

Edited by Antonia Papandreou-Suppappola

CRC Press

432 pages | 158 B/W Illus.

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Hardback: 9780849300653
pub: 2002-10-29
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Description

Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that are functions of both time and frequency.

Applications in Time-Frequency Signal Processing investigates the use of various time-frequency representations, such as the Wigner distribution and the spectrogram, in diverse application areas. Other books tend to focus on theoretical development. This book differs by highlighting particular applications of time-frequency representations and demonstrating how to use them. It also provides pseudo-code of the computational algorithms for these representations so that you can apply them to your own specific problems.

Written by leaders in the field, this book offers the opportunity to learn from experts. Time-Frequency Representation (TFR) algorithms are simplified, enabling you to understand the complex theories behind TFRs and easily implement them. The numerous examples and figures, review of concepts, and extensive references allow for easy learning and application of the various time-frequency representations.

Reviews

"This book is a reference for applications involving signals with time-varying spectra reference. Written by leaders in the field, it offers an opportunity to learn from experts. Numerous examples and figures, a review of concepts, and simplified TFR algorithms assist the understanding of complex theories behind TFRs and their implementation."

- IEEE Signal Processing Magazine

Table of Contents

Preface

Time-Frequency Processing: A Tutorial on Principles and Practice, Antonia Papendreou-Suppappol

Inference Excision via Time-Frequency Distributions: Alan R. Lindsey, Liang Zhao, Moeness Amin

Positive Time-Frequency Distributions, Patrick Loughlin, Leon Cohen

Positive Time-Frequency Distributions and Acoustic Echoes, Dale Groutage, David Bennink, Patrick Loughlin, Leon Cohen

Time-Frequency Reassignment: From Principles to Algorithms, P. Flandrin, F. Auger, E. Chassande-Mottin

Linear Time-Frequency Filters: Online Algorithms and Applications, Gerald Matz, Franz Hlawatsch

Discrete Reduced Interference Distributions, William J. Williams

Time-Frequency Analysis of Seismic Reflection Data, Phillippe Steeghs, Richard Baraniuk, Jan Erik Odegard

Time-Frequency Methodology for Newborn EEG Seizure Detection, Boualem Boashash, Mostefa Mesbah

Quadratic Time-Frequency Features for Speech Recognition, James Droppo, Les Atlas

About the Series

Electrical Engineering & Applied Signal Processing Series

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Subject Categories

BISAC Subject Codes/Headings:
TEC007000
TECHNOLOGY & ENGINEERING / Electrical