The leaky least mean mixed norm algorithm

Mohammed Abdul Nasar; Azzedine Zerguine

doi:10.1109/ACSSC.2013.6810550

The leaky least mean mixed norm algorithm

Mohammed Abdul Nasar
, Azzedine Zerguine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

In this work, a leakage-based variant of the Least Mean Mixed Norm (LMMN) algorithm, the leaky Least Mean Mixed Norm (LLMMN) algorithm, is derived. The proposed algorithm will help mitigate the weight drift problem experienced in the conventional Least Mean Square (LMS) and Least Mean Fourth (LMF) algorithms. The main aim of this work is to derive the LLMMN adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMMN over the conventional LMMN algorithm in a weight drift environment.

Original language	English
Title of host publication	Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Society
Pages	1520-1523
Number of pages	4
ISBN (Print)	9781479923908
DOIs	https://doi.org/10.1109/ACSSC.2013.6810550
State	Published - 2013
Event	47th Asilomar Conference on Signals, Systems and Computers, ACSSC 2013 - Pacific Grove, CA, United States Duration: 3 Nov 2013 → 6 Nov 2013

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	47th Asilomar Conference on Signals, Systems and Computers, ACSSC 2013
Country/Territory	United States
City	Pacific Grove, CA
Period	3/11/13 → 6/11/13

Keywords

Adaptive filters
leaky least mean mixed norm
weight drift

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2013.6810550

Cite this

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title = "The leaky least mean mixed norm algorithm",

abstract = "In this work, a leakage-based variant of the Least Mean Mixed Norm (LMMN) algorithm, the leaky Least Mean Mixed Norm (LLMMN) algorithm, is derived. The proposed algorithm will help mitigate the weight drift problem experienced in the conventional Least Mean Square (LMS) and Least Mean Fourth (LMF) algorithms. The main aim of this work is to derive the LLMMN adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMMN over the conventional LMMN algorithm in a weight drift environment.",

keywords = "Adaptive filters, leaky least mean mixed norm, weight drift",

author = "Nasar, \{Mohammed Abdul\} and Azzedine Zerguine",

year = "2013",

doi = "10.1109/ACSSC.2013.6810550",

language = "English",

isbn = "9781479923908",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

pages = "1520--1523",

booktitle = "Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers",

address = "United States",

note = "47th Asilomar Conference on Signals, Systems and Computers, ACSSC 2013 ; Conference date: 03-11-2013 Through 06-11-2013",

}

Nasar, MA & Zerguine, A 2013, The leaky least mean mixed norm algorithm. in Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers., 6810550, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 1520-1523, 47th Asilomar Conference on Signals, Systems and Computers, ACSSC 2013, Pacific Grove, CA, United States, 3/11/13. https://doi.org/10.1109/ACSSC.2013.6810550

The leaky least mean mixed norm algorithm. / Nasar, Mohammed Abdul; Zerguine, Azzedine.
Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, 2013. p. 1520-1523 6810550 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The leaky least mean mixed norm algorithm

AU - Nasar, Mohammed Abdul

AU - Zerguine, Azzedine

PY - 2013

Y1 - 2013

N2 - In this work, a leakage-based variant of the Least Mean Mixed Norm (LMMN) algorithm, the leaky Least Mean Mixed Norm (LLMMN) algorithm, is derived. The proposed algorithm will help mitigate the weight drift problem experienced in the conventional Least Mean Square (LMS) and Least Mean Fourth (LMF) algorithms. The main aim of this work is to derive the LLMMN adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMMN over the conventional LMMN algorithm in a weight drift environment.

AB - In this work, a leakage-based variant of the Least Mean Mixed Norm (LMMN) algorithm, the leaky Least Mean Mixed Norm (LLMMN) algorithm, is derived. The proposed algorithm will help mitigate the weight drift problem experienced in the conventional Least Mean Square (LMS) and Least Mean Fourth (LMF) algorithms. The main aim of this work is to derive the LLMMN adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMMN over the conventional LMMN algorithm in a weight drift environment.

KW - Adaptive filters

KW - leaky least mean mixed norm

KW - weight drift

UR - https://www.scopus.com/pages/publications/84901266174

U2 - 10.1109/ACSSC.2013.6810550

DO - 10.1109/ACSSC.2013.6810550

M3 - Conference contribution

AN - SCOPUS:84901266174

SN - 9781479923908

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1520

EP - 1523

BT - Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers

PB - IEEE Computer Society

T2 - 47th Asilomar Conference on Signals, Systems and Computers, ACSSC 2013

Y2 - 3 November 2013 through 6 November 2013

ER -

The leaky least mean mixed norm algorithm

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this