Time-Frequency Analysis Techniques and their Applications

Most of the real-life signals are non-stationary in nature.The examples of such signals include biomedical signals, communication signals, speech, earthquake signals, vibration signals, etc.Time-frequency analysis plays an important role for extracting the meaningful information from these signals.The book presents time-frequency analysis methods together with their various applications.The basic concepts of signals and different ways of representing signals have been provided.The various time-frequency analysis techniques namely, short-time Fourier transform, wavelet transform, quadratic time-frequency transforms, advanced wavelet transforms, and adaptive time-frequency transforms have been explained.The fundamentals related to these methods are included.The various examples have been included in the book to explain the presented concepts effectively.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, etc. have been explained in the book. The numerous applications of time-frequency analysis techniques in various research areas have been demonstrated.This book covers basic concepts of signals, time-frequency analysis, and various conventional and advanced time-frequency analysis methods along with their applications.The set of problems included in the book will be helpful to gain an expertise in time-frequency analysis.The material presented in this book will be useful for students, academicians, and researchers to understand the fundamentals and applications related to time-frequency analysis.