A Variable Step-Size for Sparse Nonlinear Adaptive Filters

2021 ◽  
Author(s):  
Alberto Carini ◽  
Markus V. S. Lima ◽  
Hamed Yazdanpanah ◽  
Simone Orcioni ◽  
Stefania Cecchi
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step

scholarly journals Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Size

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 185796-185803
Author(s):  
Jung-Hee Kim ◽  
Jeong-Hwan Choi ◽  
Sang Won Nam ◽  
Joon-Hyuk Chang
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Weighting Factors ◽  
Variable Step

Variable Step Size LMS Algorithm Based on Two Cooperative Adaptive Filters

2011 ◽  
Vol 268-270 ◽  
pp. 1168-1172
Author(s):  
Qing Feng Wang ◽  
Chuan Lin
Keyword(s):  
Adaptive Filter ◽  
Adaptive Filters ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Output Noise ◽  
Variable Step ◽  
Tracking Ability ◽  
New Algorithms ◽  
Current Stage

A new variable step size LMS algorithm (CoLMS algorithm) based on two cooperative adaptive filters was proposed. In the CoLMS algorithm, the step size of each component filter was adjusted according to the comparison result of the two component filters’ performance at current stage. And the output of the better component adaptive filter was chosen as that of the overall adaptive filter. The CoLMS algorithm is not sensitive to the magnitude of the output noise and has a good tracking ability in the stationary or slowly changed environment. In order to further improve the tracking ability of CoLMS in abruptly changed environment, a modified CoLMS algorithm is also presented. The efficiency of the new algorithms is verified by the simulation results in system identification under the noises of different magnitudes.

scholarly journals Variable Step Size Maximum Correntropy Criteria Based Adaptive Filtering Algorithm

2016 ◽  
Vol 6 (2) ◽  
pp. 923-926
Author(s):  
S. Radhika ◽  
A. Sivabalan
Keyword(s):  
Steady State ◽  
Adaptive Filters ◽  
Impulsive System ◽  
Variable Step Size ◽  
Step Size ◽  
Impulsive Interference ◽  
Variable Step ◽  
Improved Performance ◽  
Maximum Correntropy Criterion ◽  
State Error

Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive interference. This paper proposes a novel MCC based adaptive filter with variable step size in order to obtain improved performance in terms of both convergence rate and steady state error with robustness against impulsive interference. The optimal variable step size is obtained by minimizing the Mean Square Deviation (MSD) error from one iteration to the other. Simulation results in the context of a highly impulsive system identification scenario show that the proposed algorithm has faster convergence and lesser steady state error than the conventional MCC based adaptive filters.

A Variable Step Size for Normalized Subband Adaptive Filters

2012 ◽  
Vol 19 (12) ◽  
pp. 906-909 ◽  
Author(s):  
Jae Jin Jeong ◽  
Keunhwi Koo ◽  
Gyu Tae Choi ◽  
Sang Woo Kim
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step

Erratum to ‘A shrinkage variable step size for normalized subband adaptive filters’ SIGPRO 129C 2016, 56–61

2017 ◽  
Vol 132 ◽  
pp. 338
Author(s):  
Wei Xia ◽  
Lingfeng Zhu ◽  
JuLei Zhu ◽  
Jinfeng Hu ◽  
Huiyong Li
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step

scholarly journals Delay coefficients based variable step size algorithm for subband affine projection adaptive filters

2009 ◽  
Vol 6 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Karthik Muralidhar ◽  
Anoop Kumar Krishna ◽  
Kwok Hung Li ◽  
Sapna George
Keyword(s):  
Adaptive Filters ◽  
Variable Step Size ◽  
Step Size ◽  
Affine Projection ◽  
Variable Step
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