Extrapolated LMS adaptive filtering algorithms

Sau Gee Chen; Yung An Kao; Ching Yeu Chen

Extrapolated LMS adaptive filtering algorithms

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

^*Corresponding author for this work

National Yang Ming Chiao Tung University

Research output: Contribution to conference › Conference Paper › peer-review

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 language	English
Pages	485-490
Number of pages	6
State	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust Duration: 26 11 1996 → 29 11 1996

Conference

Conference	Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
City	Perth, Aust
Period	26/11/96 → 29/11/96

Cite this

@conference{37b3a3c590d04aeb8eb27f5a2dd9b305,

title = "Extrapolated LMS adaptive filtering algorithms",

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.",

author = "Chen, \{Sau Gee\} and Kao, \{Yung An\} and Chen, \{Ching Yeu\}",

year = "1996",

language = "英语",

pages = "485--490",

note = "Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) ; Conference date: 26-11-1996 Through 29-11-1996",

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TY - CONF

T1 - Extrapolated LMS adaptive filtering algorithms

AU - Chen, Sau Gee

AU - Kao, Yung An

AU - Chen, Ching Yeu

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0030312260

M3 - 论文

AN - SCOPUS:0030312260

SP - 485

EP - 490

T2 - Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)

Y2 - 26 November 1996 through 29 November 1996

ER -

Extrapolated LMS adaptive filtering algorithms

Abstract

Conference

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