A unified framework for least square and mean square based adaptive filtering algorithms

Zhongkai Zhang, Tamal Bose, Jacob Gunther

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

This paper presents a unified framework for adaptive filters based on a line search method. Expressions for this unified framework are derived. Based on this framework new algorithms are derived, namely, Diagonal Q-correlation matrix Least Square algorithm (DQLS), Block Diagonal Q-correlation matrix Least Square algorithm (BDQLS) and their reduced complexity variants. It is shown that both DQLS and BDQLS have less computational complexity compared to EDS and RLS, and better performance than LMS.

Original languageEnglish (US)
Article number1465588
Pages (from-to)4325-4328
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: May 23 2005May 26 2005

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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