An application of the LMS algorithm for smoothing pseudo Wigner distributions.

new and simple application of the least mean square (LMS) algorithm in time-frequency distributions of signals is presented. The constant and the time-varying behavior of the autoterms and cross-terms are used by the frequency-domain LMS adaptive structure to simulate the smoothed pseudo Wigner-Ville distribution. It is shown that the corresponding smoothing window is an exponential function whose time constant is defined by the step-size parameter used in the adaptive algorithm.

Main Author:	Amin, Moeness G.
Other Authors:	Davis, Paul J., Allen, Fred Jr.
Language:	English
Published:	1993
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173126