Extrapolated LMS adaptive filtering algorithms

Sau-Gee Chen*, Yung An Kao, Ching Yeu Chen

*Corresponding author for this work

Research output: Contribution to conferencePaper

Abstract

Two novel adaptive filtering algorithms are proposed in this work. The algorithms greatly reduce the number of adaptation steps of the LMS algorithm by extrapolating the adaptive filtering coefficients. The extrapolation is done through the time constant and optimal coefficient estimations of the coefficient adaptation process. Simulation results for the system identification and correlation canceller loop show significant reduction of the adaptation steps. The algorithms can be applied to general orthogonal adaptive filters and least-square error optimization problems.

Original languageEnglish
Pages485-490
Number of pages6
DOIs
StatePublished - 1 Dec 1996
EventProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
Duration: 26 Nov 199629 Nov 1996

Conference

ConferenceProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
CityPerth, Aust
Period26/11/9629/11/96

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