research-article

Proportionate adaptive algorithms for network echo cancellation

Authors:

Hongyang Deng,

M. DoroslovackiAuthors Info & Claims

IEEE Transactions on Signal Processing, Volume 54, Issue 5

Pages 1794 - 1803

https://doi.org/10.1109/TSP.2006.872533

Published: 01 October 2006 Publication History

Abstract

By analyzing the coefficient adaptation process of the steepest descent algorithm, the condition under which the fastest overall convergence will be achieved is obtained and the way to calculate optimal step-size control factors to satisfy that condition is formulated. Motivated by the results and using the stochastic approximation paradigm, the μ-law PNLMS (MPNLMS) algorithm is proposed to keep, in contrast to the proportionate normalized least-mean-square (PNLMS) algorithm, the fast initial convergence during the whole adaptation process in the case of sparse echo path identification. Modifications of the MPNLMS algorithm are proposed to lower the computational complexity.

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Yadav NDhawan ATiwari MJha S(2024)Modified Model of RLS Adaptive Filter for Noise CancellationCircuits, Systems, and Signal Processing10.1007/s00034-024-02605-543:5(3238-3260)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00034-024-02605-5
Zhang SChen HSayed A(2023)Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering AlgorithmIEEE Transactions on Signal Processing10.1109/TSP.2023.329065971(2448-2459)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TSP.2023.3290659
Liu DZhao H(2023)Novel Affine Projection Sign SAF Against Impulsive Interference and Noisy Input: Algorithm Derivation and Convergence AnalysisCircuits, Systems, and Signal Processing10.1007/s00034-023-02395-242:10(6182-6209)Online publication date: 24-May-2023
https://dl.acm.org/doi/10.1007/s00034-023-02395-2
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Proportionate adaptive algorithms for network echo cancellation
1. Information systems
  1. Data management systems
    1. Database administration
2. Theory of computation
  1. Design and analysis of algorithms

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cover image IEEE Transactions on Signal Processing

IEEE Transactions on Signal Processing Volume 54, Issue 5

May 2006

390 pages

ISSN:1053-587X

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IEEE Press

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Published: 01 October 2006

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Yadav NDhawan ATiwari MJha S(2024)Modified Model of RLS Adaptive Filter for Noise CancellationCircuits, Systems, and Signal Processing10.1007/s00034-024-02605-543:5(3238-3260)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00034-024-02605-5
Zhang SChen HSayed A(2023)Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering AlgorithmIEEE Transactions on Signal Processing10.1109/TSP.2023.329065971(2448-2459)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TSP.2023.3290659
Liu DZhao H(2023)Novel Affine Projection Sign SAF Against Impulsive Interference and Noisy Input: Algorithm Derivation and Convergence AnalysisCircuits, Systems, and Signal Processing10.1007/s00034-023-02395-242:10(6182-6209)Online publication date: 24-May-2023
https://dl.acm.org/doi/10.1007/s00034-023-02395-2
Cohen NHazan GSchwartz BGannot S(2021)An online algorithm for echo cancellation, dereverberation and noise reduction based on a Kalman-EM MethodEURASIP Journal on Audio, Speech, and Music Processing10.1186/s13636-021-00219-22021:1Online publication date: 28-Aug-2021
https://dl.acm.org/doi/10.1186/s13636-021-00219-2
Pouradabi ARastegarnia AZandi SBazzi WSanei S(2021)A Class of Diffusion Proportionate Subband Adaptive Filters for Sparse System Identification over Distributed NetworksCircuits, Systems, and Signal Processing10.1007/s00034-021-01766-x40:12(6242-6264)Online publication date: 1-Dec-2021
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Mohamed-Kazim HAbdel-Qader I(2021)Coefficient-Gradient-Based Individualized Stepsize Adaptation Mechanism for Robust System IdentificationCircuits, Systems, and Signal Processing10.1007/s00034-020-01612-640:6(3033-3074)Online publication date: 1-Jun-2021
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do Prado RGuedes RHenriques Fda Costa FTarrataca LHaddad D(2021)On the Analysis of the Incremental -LMS Algorithm for Distributed SystemsCircuits, Systems, and Signal Processing10.1007/s00034-020-01500-z40:2(845-871)Online publication date: 1-Feb-2021
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Zhang SZhang JSo H(2020)Low-Complexity Decorrelation NLMS Algorithms: Performance Analysis and AEC ApplicationIEEE Transactions on Signal Processing10.1109/TSP.2020.303959568(6621-6632)Online publication date: 4-Dec-2020
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Mehmood HAhmad RYousuf M(2019)A Comprehensive Review of Adaptive Noise Cancellation Techniques in the Internet of ThingsProceedings of the 3rd International Conference on Future Networks and Distributed Systems10.1145/3341325.3342035(1-8)Online publication date: 1-Jul-2019
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Elisei-Iliescu CPaleologu CBenesty JStanciu CAnghel CCiochina S(2019)Recursive Least-Squares Algorithms for the Identification of Low-Rank SystemsIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2019.290327627:5(903-918)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1109/TASLP.2019.2903276
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A variable step-size proportionate affine projection algorithm for network echo cancellation

Memory proportionate APA with individual activation factors for acoustic echo cancellation

Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation

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