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

Zhongkai Zhang, Tamal Bose, Jacob Gunther

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages4325-4328
Number of pages4
DOIs
StatePublished - 2005
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: May 23 2005May 26 2005

Other

OtherIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
CountryJapan
CityKobe
Period5/23/055/26/05

Fingerprint

Adaptive filtering
Adaptive filters
Energy dispersive spectroscopy
Computational complexity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zhang, Z., Bose, T., & Gunther, J. (2005). A unified framework for least square and mean square based adaptive filtering algorithms. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 4325-4328). [1465588] https://doi.org/10.1109/ISCAS.2005.1465588

A unified framework for least square and mean square based adaptive filtering algorithms. / Zhang, Zhongkai; Bose, Tamal; Gunther, Jacob.

Proceedings - IEEE International Symposium on Circuits and Systems. 2005. p. 4325-4328 1465588.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z, Bose, T & Gunther, J 2005, A unified framework for least square and mean square based adaptive filtering algorithms. in Proceedings - IEEE International Symposium on Circuits and Systems., 1465588, pp. 4325-4328, IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005, Kobe, Japan, 5/23/05. https://doi.org/10.1109/ISCAS.2005.1465588
Zhang Z, Bose T, Gunther J. A unified framework for least square and mean square based adaptive filtering algorithms. In Proceedings - IEEE International Symposium on Circuits and Systems. 2005. p. 4325-4328. 1465588 https://doi.org/10.1109/ISCAS.2005.1465588
Zhang, Zhongkai ; Bose, Tamal ; Gunther, Jacob. / A unified framework for least square and mean square based adaptive filtering algorithms. Proceedings - IEEE International Symposium on Circuits and Systems. 2005. pp. 4325-4328
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