Time-frequency analysis techniques and their applications. (2023)

• Record Type: Book
• Further Information: Note: Ram Bilas Pachori.
• Authors: Pachori, Ram Bilas, 1979-
• Contents: Foreword Preface Chapter 1 Basics of signals Definition of signal Types of signals Various measures of the signals Important signals Signal operations Chapter 2 Signal representation Signal representation in terms of orthogonal functions Signal representation in terms of impulse functions Signal representation in terms of general basis functions Signal representation in terms of complex exponential functions Signal representation in terms of Bessel functions Chapter 3 Basics of time-frequency analysis Time-domain representation Time-domain localization Frequency-domain localization Heisenberg box representation AM and FM bandwidths Spectrum AM and PM durations Uncertainty principle Instantaneous frequency Basic ideas related to TFDs Chapter 4 Short-time Fourier transform STFT Time-frequency resolution of STFT STFT interpretations Reconstruction process for STFT Energy conservation for STFT Short-frequency Fourier transform Discrete version of STFT Examples of STFT Chapter 5 Wavelet transform Continuous wavelet transform Scalogram Features of CWT Inverse CWT Some properties of CWT Energy conservation in CWT Wavelet series Discrete wavelet transform DWT based on filter bank Chapter 6 Quadratic time-frequency transforms Quadratic time-frequency transforms Cross-term suppression in WVD General time-frequency distribution Implementation of Cohen’s class TFDs Chapter 7 Advanced wavelet transforms Wavelet packet transform Synchrosqueezed wavelet transform Rational-dilation wavelet transforms Tunable-Q wavelet transform Flexible analytic wavelet transform FBSE based flexible analytic wavelet transform Dual-tree complex wavelet transform Chapter 8 Adaptive time-frequency transforms Hilbert-Huang transform Ensemble empirical mode decomposition Variational mode decomposition Empirical wavelet transform FBSE based empirical wavelet transform Fourier decomposition method Iterative eigenvalue decomposition of Hankel matrix Dynamic mode decomposition Chapter 9 Applications Overview Automated detection of diseases using biomedical signals Disease detection and diagnosis from biomedical images . Extraction of vital signs from physiological signals Brain-computer interface TFA for speech processing Applications in communication engineering Power quality assessment Machinery fault diagnosis Chemical engineering Financial applications Ocean engineering References
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (240 pages), illustrations (black and white)
• Subjects: 621.3822; Signal processing
• Languages: English
• ISBNs: 9781000867398; 9781000867312
• Related ISBNs: 9781032392974
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.