A reconsideration of improved PNLMS algorithm from metric combining viewpoint

Osamu Toda, Masahiro Yukawa

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

1 Citation (Scopus)

Abstract

In this paper, we show the importance of considering metric in adaptive filtering through a reconsideration of the improved proportionate normalized least mean square (IPNLMS) algorithm for sparse systems from a viewpoint of metric combining. IPNLMS convexly combines a positive-definite diagonal matrix (whose diagonal elements are proportional to the absolute values of the adaptive filter to reflect the system sparsity) with the identity matrix. We present the metric-combining NLMS (MC-NLMS) algorithm and derive, as its special example, the natural PNLMS (NPNLMS) algorithm. NPNLMS can be regarded as a modified version of IPNLMS and we show that NPNLMS is more natural (and performs better) than IPNLMS.

Original languageEnglish
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1951-1955
Number of pages5
ISBN (Print)9781479923908
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 2013 Nov 32013 Nov 6

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period13/11/313/11/6

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Toda, O., & Yukawa, M. (2013). A reconsideration of improved PNLMS algorithm from metric combining viewpoint. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1951-1955). [6810645] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810645