A hybrid approach for sparse adaptive filters under highly colored inputs

Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, Hisakazu Kikuchi

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

Abstract

We address an adaptive filtering problem for sparse linear systems excited by highly colored input signals. A proportionate approach is known to accelerate the convergence speed by exploiting the sparseness of the systems, while a transformdomain approach is known to alleviate the decay of the convergence rate for highly colored inputs. We highlight the improved proportionate NLMS (IPNLMS) and transform-domain NLMS (TD-NLMS) algorithms. The present experimental results show that the gain of IPNLMS against TD-NLMS changes from positive to negative as the input auto-correlation becomes strong. We propose a hybrid approach of IPNLMS and TD-NLMS, taking the advantages of both algorithms by means of a timevariant convex combination of the two matrices employed by those algorithms. Numerical examples show the efficacy of the proposed algorithm.

Original languageEnglish
Title of host publicationAPSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011
Pages78-82
Number of pages5
Publication statusPublished - 2011
Externally publishedYes
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
Duration: 2011 Oct 182011 Oct 21

Other

OtherAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
CountryChina
CityXi'an
Period11/10/1811/10/21

Fingerprint

Adaptive filters
Mathematical transformations
Adaptive filtering
Autocorrelation
Linear systems

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Cite this

Toda, O., Yukawa, M., Sasaki, S., & Kikuchi, H. (2011). A hybrid approach for sparse adaptive filters under highly colored inputs. In APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011 (pp. 78-82)

A hybrid approach for sparse adaptive filters under highly colored inputs. / Toda, Osamu; Yukawa, Masahiro; Sasaki, Shigenobu; Kikuchi, Hisakazu.

APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. p. 78-82.

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

Toda, O, Yukawa, M, Sasaki, S & Kikuchi, H 2011, A hybrid approach for sparse adaptive filters under highly colored inputs. in APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. pp. 78-82, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, China, 11/10/18.
Toda O, Yukawa M, Sasaki S, Kikuchi H. A hybrid approach for sparse adaptive filters under highly colored inputs. In APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. p. 78-82
Toda, Osamu ; Yukawa, Masahiro ; Sasaki, Shigenobu ; Kikuchi, Hisakazu. / A hybrid approach for sparse adaptive filters under highly colored inputs. APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. pp. 78-82
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