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Proceedings Paper

Time-frequency approximations with applications to filtering, modulation, and propagation
Author(s): Patrick J. Loughlin
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Paper Abstract

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.

Paper Details

Date Published: 25 August 2006
PDF: 9 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130S (25 August 2006); doi: 10.1117/12.684023
Show Author Affiliations
Patrick J. Loughlin, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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