Regularization parameter of normalized subband adaptive filter

Jae Jin Jeong, Gyogwon Koo, Seung Hun Kim, Sang Woo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The stability and performance of the normalized subband adaptive filter (NSAF) algorithm is influenced by the regularization parameter. However, in various noise environments, the regularization parameter is difficult to be determined. The basic idea of this paper is to eliminate the effects of the noise in filter estimation. Simulation results show the proposed method has valid results in various noise environment.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1047-1050
Number of pages4
ISBN (Print)9781479923991
DOIs
StatePublished - 2014
Event2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey
Duration: 1 Jun 20144 Jun 2014

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Country/TerritoryTurkey
CityIstanbul
Period1/06/144/06/14

Keywords

  • Adaptive filters
  • normalized subband adaptive filter
  • regularization parameter

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