Time-frequency signal analysis--methods and applications
Collection of 23 review papers provides a structured and detailed view of time-frequency analysis. Other topics covered include detection, classification, and algorithms for computer implementation. Edited by a professor of signal processing at Queensland University of Technology. Includes an extensive bibliography and an index.
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A Primer on TimeFrequency Analysis
TimeVarying Filtering and Signal Synthesis by J Jeong
Instantaneous Frequency and TimeFrequency Distribu
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Acoust ambiguity function amplitude analytic signal application approximation array autocorrelation average bandwidth bilinear kernel Boashash chirp classification Cohen complex components computation Conf corresponding cross-terms defined density detection detector discrete domain energy equation example filter finite FM signal formant Fourier transform frequency estimation frequency modulated Gaussian Hidden Markov Models HMM tracker IEEE IEEE Int IEEE Trans input instantaneous frequency interval kernel linear FM matrix measurement Mellin transform method multicomponent signal neural network noise non-stationary obtained optimal output parameters performance phase problem Proc properties random resolution samples segment sequence short-time Fourier transform signal analysis Signal Processing sinusoid smoothing spectrogram spectrum estimate Speech and Signal SPIE stationary t-f spectrum techniques time-frequency analysis time-frequency distributions time-frequency plane time-frequency representations Time-Frequency Signal Analysis time-varying track transient values vector vowel wideband Wigner distribution Wigner-Ville distribution Wigner-Ville spectrum window XWVD zero