Time-Frequency Analysis
1. Auflage Oktober 2008
434 Seiten, Hardcover
Wiley & Sons Ltd
ISBN:
978-1-84821-033-2
John Wiley & Sons
Covering a period of about 25 years, during which time-frequency has undergone significant developments, this book is principally addressed to researchers and engineers interested in non-stationary signal analysis and processing. It is written by recognized experts in the field.
Part 1: Fundamental Concepts and Tools.
Chapter 1. Energy-based time-frequency analysis (Patrick
Flandrin).
Chapter 2. The instantaneous frequency of a signal (Bernard
Picinbono).
Chapter 3. Linear time-frequency analysis I: Fourier type
representations (Rémi Gribonval).
Chapter 4. Linear time-frequency analysis II: wavelet
representations (Thierry Blu and Jérôme Lebrun).
.
Chapter 5. Quadratic time-frequency analysis I: the Cohen class
(François Auger and Eric Chassande-Mottin).
Chapter 6. Quadratic time-frequency analysis II: discretization of
the Cohen class (Stéphane Grassin).
Chapter 7. Quadratic time-frequency analysis III: the affine class
and other
covariant classes (Jean-Philippe Ovarlez, Paulo Gonçalvès
and Richard Baraniuk).
Part 2: Advanced Concepts and Tools.
Chapter 8. Higher order time-frequency representations
(Pierre-Olivier Amblard).
Chapter 9. The reassignment method (Eric Chassande-Mottin,
François Auger and Patrick Flandrin).
Chapter 10. Time-frequency analysis and statistical signal
processing (Franz Hlawatsch and Gerald Matz).
Chapter 11. Non-stationary parametric modeling (Corinne Mailhes and
Francis Castanié).
Chapter 12. Time-frequency representations in biomedical signal
processing (Lotfi Senhadji and Mohammad Bagher Shamsollahi).
Chapter 13. Application of time-frequency methods to acoustic
signals: recognition and diagnostics (Manuel Davy).
Chapter 1. Energy-based time-frequency analysis (Patrick
Flandrin).
Chapter 2. The instantaneous frequency of a signal (Bernard
Picinbono).
Chapter 3. Linear time-frequency analysis I: Fourier type
representations (Rémi Gribonval).
Chapter 4. Linear time-frequency analysis II: wavelet
representations (Thierry Blu and Jérôme Lebrun).
.
Chapter 5. Quadratic time-frequency analysis I: the Cohen class
(François Auger and Eric Chassande-Mottin).
Chapter 6. Quadratic time-frequency analysis II: discretization of
the Cohen class (Stéphane Grassin).
Chapter 7. Quadratic time-frequency analysis III: the affine class
and other
covariant classes (Jean-Philippe Ovarlez, Paulo Gonçalvès
and Richard Baraniuk).
Part 2: Advanced Concepts and Tools.
Chapter 8. Higher order time-frequency representations
(Pierre-Olivier Amblard).
Chapter 9. The reassignment method (Eric Chassande-Mottin,
François Auger and Patrick Flandrin).
Chapter 10. Time-frequency analysis and statistical signal
processing (Franz Hlawatsch and Gerald Matz).
Chapter 11. Non-stationary parametric modeling (Corinne Mailhes and
Francis Castanié).
Chapter 12. Time-frequency representations in biomedical signal
processing (Lotfi Senhadji and Mohammad Bagher Shamsollahi).
Chapter 13. Application of time-frequency methods to acoustic
signals: recognition and diagnostics (Manuel Davy).
Franz Hlawatsch is an Associate Professor at the Vienna
University of Technology, Austria. His research interests are in
the areas of time-frequency signal processing, non-stationary
statistical signal processing and wireless communications.
Francois Auger is Head of the Physical Measurements
Department of the Technology Institute of the University of Saint
Nazaire, France. His current research interests include motor
control, embedded control and signal processing with FPGAs,
spectral estimation and time-frequency representations.
University of Technology, Austria. His research interests are in
the areas of time-frequency signal processing, non-stationary
statistical signal processing and wireless communications.
Francois Auger is Head of the Physical Measurements
Department of the Technology Institute of the University of Saint
Nazaire, France. His current research interests include motor
control, embedded control and signal processing with FPGAs,
spectral estimation and time-frequency representations.
