25 August 2006 Time-frequency approximations with applications to filtering, modulation, and propagation
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Signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick J. Loughlin, Patrick J. Loughlin, } "Time-frequency approximations with applications to filtering, modulation, and propagation", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130S (25 August 2006); doi: 10.1117/12.684023; https://doi.org/10.1117/12.684023


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