Subband adaptive filtering using a multiple-constraint optimization criterion

Kong A. Lee, Woon S. Gan, Y. Wen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper we propose a new design criterion for subband adaptive filters (SAFs). The proposed multiple-constraint optimization criterion is based on the principle of minimal disturbance, where the multiple constraints are imposed on the updated subband filter outputs. Compared to the classical fullband least-mean-square (LMS) algorithm, the subband adaptive filtering algorithm derived from the proposed criterion exhibits faster convergence under colored excitation. Furthermore, the recursive tap-weight adaptation can be expressed in a simple form comparable to that of the normalized LMS (NLMS) algorithm. We also show that the proposed criterion is related to another known weighted criterion. The efficacy of the proposed criterion and algorithm are examined and validated via mathematical analysis and simulation.

Original languageEnglish
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1825-1828
Number of pages4
ISBN (Electronic)9783200001657
Publication statusPublished - 3 Apr 2015
Externally publishedYes
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: 6 Sept 200410 Sept 2004

Publication series

NameEuropean Signal Processing Conference
Volume06-10-September-2004
ISSN (Print)2219-5491

Conference

Conference12th European Signal Processing Conference, EUSIPCO 2004
Country/TerritoryAustria
CityVienna
Period6/09/0410/09/04

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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