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.|