Applications in Time-Frequency Signal Processing

Author:   Antonia Papandreou-Suppappola (Arizona State University, Tempe, Arizona, USA) ,  Richard C. Dorf (University of California, Davis, USA) ,  Alexander D. Poularikas (The University of Alabama, Huntsville, USA) ,  Boualem Boashash (Queensland University of Technology, Australia)
Publisher:   Taylor & Francis Inc
Volume:   10
ISBN:  

9780849300653


Pages:   430
Publication Date:   29 October 2002
Format:   Hardback
Availability:   In Print   Availability explained
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Applications in Time-Frequency Signal Processing


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Overview

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.

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Author:   Antonia Papandreou-Suppappola (Arizona State University, Tempe, Arizona, USA) ,  Richard C. Dorf (University of California, Davis, USA) ,  Alexander D. Poularikas (The University of Alabama, Huntsville, USA) ,  Boualem Boashash (Queensland University of Technology, Australia)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   10
Dimensions:   Width: 15.60cm , Height: 2.80cm , Length: 23.40cm
Weight:   0.758kg
ISBN:  

9780849300653


ISBN 10:   0849300657
Pages:   430
Publication Date:   29 October 2002
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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


"""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"


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


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Antonia Papandreou-Suppappola

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