Time Frequency AnalysisTime Frequency Signal Analysis and Processing covers fundamental concepts, principles and techniques, treatment of specialised and advanced topics, methods and applications, including results of recent research. This book deals with the modern methodologies, key techniques and concepts that form the core of new technologies used in IT, multimedia, telecommunications as well as most fields of engineering, science and technology. It focuses on advanced techniques and methods that allow a refined extraction and processing of information, allowing efficient and effective decision making that would not be possible with classical techniques. The Author, fellow of IEEE for Pioneering contributions to time-frequency analysis and signal processing education, is an expert in the field, having written over 300 papers on the subject over a period pf 25 years. This is a REAL book, not a mere collection of specialised papers, making it essential reading for researchers and practitioners in the field of signal processing. *The most comprehensive text and reference book published on the subject, all the most up to date research on this subject in one place *Key computer procedures and code are provided to assist the reader with practical implementations and applications *This book brings together the main knowledge of time-frequency signal analysis and processing, (TFSAP), from theory and applications, in a user-friendly reference suitable for both experts and beginners |
Contents
Fundamental Principles of TFSAP | 83 |
TimeFrequency Methods | 229 |
Statistical Techniques | 369 |
Engineering Applications | 539 |
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Common terms and phrases
Acoustics adaptive algorithm amplitude analysis analytic applications approach approximation assumed Boashash called channel chirp complex components computed concentration condition considered constant correlation corresponding covariance cross-terms defined definition delay denotes detection discrete distribution domain Doppler effect energy Engineering estimation example expression filter FM signal Fourier transform fractional frequency function Gabor Gaussian given IEEE Trans instantaneous frequency interference kernel linear localization matrix mean measure method noise Note observation obtained operator optimal parameter peak performance phase plane polynomial presented Proc properties quadratic random range received reduced References representation represents resolution respectively sampling satisfy selected separation shift shown shows Signal Processing smoothed spectral spectrogram spectrum statistic STFT techniques time-frequency time-frequency distributions time-varying Wigner Wigner-Ville distribution window