Characterization of a cascade LMS predictor

DY Huang*, Wen Su, A Nallanathan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

5 Citations (Scopus)

Abstract

In this paper, an FIR cascade structure for adaptive linear prediction is studied in which each stage FIR filter is independently adapted using LMS algorithm. The theoretical analysis shows that the cascade performs a linear prediction in a way of successive refinement and each stage tries to obliterate the dominant mode of its input. Experimental results show that the performance of the cascade LMS predictor are in good agreement with our theoretical analysis.

Original languageEnglish
Title of host publication2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5
Place of PublicationNEW YORK
PublisherIEEE
Pages173-176
Number of pages4
ISBN (Print)0-7803-8874-7
Publication statusPublished - 2005
Event30th IEEE International Conference on Acoustics, Speech, and Signal Processing - Philadelphia, Panama
Duration: 19 Mar 200523 Mar 2005

Publication series

NameInternational Conference on Acoustics Speech and Signal Processing ICASSP
PublisherIEEE
ISSN (Print)1520-6149

Conference

Conference30th IEEE International Conference on Acoustics, Speech, and Signal Processing
Country/TerritoryPanama
Period19/03/200523/03/2005

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