Performance analysis of the deficient length EDS adaptive algorithm

Zhongkai Zhang, Tamal Bose, Li Xiao, Ratchaneekorn Thamvichai

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

9 Scopus citations

Abstract

In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.

Original languageEnglish (US)
Title of host publicationAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Pages222-226
Number of pages5
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
EventAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore
Duration: Dec 4 2006Dec 6 2006

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Other

OtherAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
CountrySingapore
Period12/4/0612/6/06

Keywords

  • Adaptive algorithm
  • Deficient
  • EDS

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Performance analysis of the deficient length EDS adaptive algorithm'. Together they form a unique fingerprint.

Cite this