Time-Frequency Analysis Techniques and their Applications

Time-frequency analysis is essential for extracting meaningful information from non-stationary real-life signals, such as biomedical, communication, and seismic signals. The book covers basic concepts, methods, and applications, including short-time Fourier transform, wavelet transform, and advanced techniques. It also discusses recent developments and their numerous applications in various research areas.

Format: Hardback
Length: 218 pages
Publication date: 09 May 2023
Publisher: Taylor & Francis Ltd

The majority of real-life signals exhibit non-stationary characteristics, encompassing a wide range of applications such as biomedical signals, communication signals, speech, earthquake signals, and vibration signals. Time-frequency analysis holds significant importance in extracting valuable information from these complex signals. This comprehensive book provides an in-depth exploration of time-frequency analysis methods, along with their diverse applications.

The book begins by introducing the fundamental concepts of signals and their representation, encompassing both continuous-time and discrete-time signals. It then delves into various time-frequency analysis techniques, including the short-time Fourier transform, wavelet transform, quadratic time-frequency transforms, advanced wavelet transforms, and adaptive time-frequency transforms. Each technique is explained with its fundamentals, and practical examples are provided to illustrate their application.

Furthermore, the book discusses the recently developed time-frequency analysis techniques, such as Fourier-Bessel series expansion-based methods, synchrosqueezed wavelet transform, tunable-Q wavelet transform, iterative eigenvalue decomposition of Hankel matrix, variational mode decomposition, Fourier decomposition method, and more. These advanced techniques offer new perspectives and solutions for analyzing time-varying signals.

The book showcases the numerous applications of time-frequency analysis techniques across various research areas, including signal processing, medical imaging, finance, and physics. It demonstrates how time-frequency analysis can be used to identify patterns, extract features, and make predictions in diverse fields.

Designed for students, academics, and researchers, this book covers the essential concepts of signals, time-frequency analysis, and conventional and advanced time-frequency analysis methods. It includes a comprehensive set of problems to aid in gaining expertise in time-frequency analysis. The material presented in this book is valuable for understanding the fundamentals and applications related to time-frequency analysis, making it an essential resource for anyone interested in this field.

Weight: 484g
Dimension: 162 x 243 x 19 (mm)
ISBN-13: 9781032392974