Convergence analysis of a mixed controlled L 2- L P adaptive algorithm

Abdelmalek Zidouri

Convergence analysis of a mixed controlled L ₂- L _P adaptive algorithm

Abdelmalek Zidouri^*

^*Corresponding author for this work

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

Abstract

A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.

Original language	English
Pages (from-to)	1733-1736
Number of pages	4
Journal	European Signal Processing Conference
State	Published - 2010

Keywords

Adaptive algorithm
Convergen
L -norm
LMS algorithm
Mixed norm

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Convergence analysis of a mixed controlled L 2- L P adaptive algorithm",

abstract = "A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.",

keywords = "Adaptive algorithm, Convergen, L -norm, LMS algorithm, Mixed norm",

author = "Abdelmalek Zidouri",

year = "2010",

language = "English",

pages = "1733--1736",

journal = "European Signal Processing Conference",

issn = "2219-5491",

publisher = "European Signal Processing Conference, EUSIPCO",

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TY - JOUR

T1 - Convergence analysis of a mixed controlled L 2- L P adaptive algorithm

AU - Zidouri, Abdelmalek

PY - 2010

Y1 - 2010

N2 - A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.

AB - A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.

KW - Adaptive algorithm

KW - Convergen

KW - L -norm

KW - LMS algorithm

KW - Mixed norm

UR - https://www.scopus.com/pages/publications/84863799480

M3 - Conference article

AN - SCOPUS:84863799480

SN - 2219-5491

SP - 1733

EP - 1736

JO - European Signal Processing Conference

JF - European Signal Processing Conference