Frequency domain adaptive tap partial update adaptive algorithm for network echo cancellation

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

1 Scopus citations

Abstract

In this paper, we propose a novel frequency domain adaptive tap partial update algorithm for network echo cancellation. Controlled by a simple sparseness measurement of the filter coefficients, the new algorithm adapts not only the filter coefficients, but also the number of taps to be updated iteration by iteration. Using the convergence behavior of the sparseness measurement, the proposed algorithm regards the convergence of the filter coefficients as a two-stage process incorporating the MMax and SPMMax partial update criteria together with the improved proportionate multi-delay filtering (IPMDF) and multi-delay filtering (MDF) adaptive algorithms. Simulation results show that, compared with fully updated IPMDF, our proposed algorithm achieves the same convergence performance with significantly reduced computational complexity.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages4046-4049
Number of pages4
DOIs
StatePublished - Nov 8 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period3/14/103/19/10

Keywords

  • Frequency domain adaptive filtering
  • Improved proportionate multi-delay filtering
  • Multi-delay filtering
  • Network echo cancellation
  • Partial update
  • Sparse system

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