A variable weight mixed-norm adaptive algorithm

Azzedine Zerguine; Tyseer Aboulnasr

doi:10.1109/ICASSP.2002.5745814

A variable weight mixed-norm adaptive algorithm

Azzedine Zerguine
, Tyseer Aboulnasr

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm- LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derived.

Original language	English
Pages (from-to)	1401-1404
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
DOIs	https://doi.org/10.1109/ICASSP.2002.5745814
State	Published - 2002

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2002.5745814

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title = "A variable weight mixed-norm adaptive algorithm",

abstract = "The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm- LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derived.",

author = "Azzedine Zerguine and Tyseer Aboulnasr",

year = "2002",

doi = "10.1109/ICASSP.2002.5745814",

language = "English",

volume = "2",

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - A variable weight mixed-norm adaptive algorithm

AU - Zerguine, Azzedine

AU - Aboulnasr, Tyseer

PY - 2002

Y1 - 2002

N2 - The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm- LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derived.

AB - The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm- LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derived.

UR - https://www.scopus.com/pages/publications/17444452174

U2 - 10.1109/ICASSP.2002.5745814

DO - 10.1109/ICASSP.2002.5745814

M3 - Article

AN - SCOPUS:17444452174

SN - 0736-7791

VL - 2

SP - 1401

EP - 1404

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 -

A variable weight mixed-norm adaptive algorithm

Abstract

ASJC Scopus subject areas

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