Adaptive step-size sign least mean squares

Mansour A. Aldajani

Adaptive step-size sign least mean squares

Mansour A. Aldajani^*

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

In this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulation result show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.

Original language	English
Pages (from-to)	II669-II672
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
State	Published - 2004

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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abstract = "In this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulation result show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.",

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AB - In this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulation result show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.

UR - https://www.scopus.com/pages/publications/4644222091

M3 - Conference article

AN - SCOPUS:4644222091

SN - 0736-7791

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JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ER -

Adaptive step-size sign least mean squares

Abstract

ASJC Scopus subject areas

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