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Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm

  • Published:2016-03 Issue: Volume:120 Page:36-42
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Yu Yi,Zhao Haiquan,Chen Badong

Funder

National Science Foundation of PR. China

Sichuan Provincial Youth Science and Technology Fund

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference20 articles.

1. Fundamentals of Adaptive Filtering;Sayed,2003

2. Subband Adaptive Filter: Theory and Implementation;Lee,2009

3. Sparseness-controlled proportionate affine projection sign algorithms for acoustic echo cancellation;Yu;Circuits Syst. Signal Process.,2015

4. Improving convergence of the NLMS algorithm using constrained subband updates;Lee;IEEE Signal Process. Lett.,2004

5. Stochastic analysis of the normalized subband adaptive filter algorithm;Yin;IEEE Trans. Circuits Syst. I,2011

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1. P-Norm Based Subband Adaptive Filtering Algorithm: Performance Analysis and Improvements;Circuits, Systems, and Signal Processing;2023-10-01

2. Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17

3. Optimal design of NLMS algorithm with a variable scaler against impulsive interference;Signal, Image and Video Processing;2023-01-17

4. Statistics Behavior of Individual-Weighting-Factors SSAF Algorithm Under Errors-in-Variables Model;IEEE Signal Processing Letters;2023

5. Robust Subband Adaptive Filter Algorithms-Based Mixture Correntropy and Application to Acoustic Echo Cancellation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023
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