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EURASIP Journal on Audio, Speech, and Music Processing
EURASIP Journal on Audio, Speech, and Music Processing Cover Image
  • Research Article
  • Open Access

A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification

EURASIP Journal on Audio, Speech, and Music Processing20072007:084376

https://doi.org/10.1155/2007/84376

©  Andy W.H. Khong et al. 2007

  • Received: 4 July 2006
  • Accepted: 24 January 2007
  • Published:

Abstract

A sparse system identification algorithm for network echo cancellation is presented. This new approach exploits both the fast convergence of the improved proportionate normalized least mean square (IPNLMS) algorithm and the efficient implementation of the multidelay adaptive filtering (MDF) algorithm inheriting the beneficial properties of both. The proposed IPMDF algorithm is evaluated using impulse responses with various degrees of sparseness. Simulation results are also presented for both speech and white Gaussian noise input sequences. It has been shown that the IPMDF algorithm outperforms the MDF and IPNLMS algorithms for both sparse and dispersive echo path impulse responses. Computational complexity of the proposed algorithm is also discussed.

Keywords

  • Impulse Response
  • Acoustics
  • White Gaussian Noise
  • Fast Convergence
  • Input Sequence

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Authors’ Affiliations

(1)
Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK
(2)
INRS-EMT, Université du Québec, Suite 6900, 800 de la Gauchetière Ouest, Montréal, QC, H5A 1K6, Canada

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Copyright

© Andy W.H. Khong et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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