Complex-valued proportionate affine projection Versoria algorithms and their combined-step-size variants for sparse system identification under impulsive noises

2021 ◽  
pp. 103209
Author(s):  
Fuyi Huang ◽  
Jiashu Zhang ◽  
Sheng Zhang
Keyword(s):  
System Identification ◽  
Step Size ◽  
Affine Projection ◽  
Sparse System ◽  
Impulsive Noises ◽  
Sparse System Identification ◽  
Complex Valued

Improved affine projection sign algorithm for sparse system identification

2012 ◽  
Vol 48 (15) ◽  
pp. 927 ◽  
Author(s):  
JinWoo Yoo ◽  
JaeWook Shin ◽  
Hyun-Tack Choi ◽  
PooGyeon Park
Keyword(s):  
System Identification ◽  
Affine Projection ◽  
Sparse System ◽  
Sparse System Identification ◽  
Sign Algorithm

scholarly journals ℒp-Norm-like Affine Projection Sign Algorithm for Sparse System to Ensure Robustness against Impulsive Noise

Symmetry ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1916
Author(s):  
Jaewook Shin ◽  
Jeesu Kim ◽  
Tae-Kyoung Kim ◽  
Jinwoo Yoo
Keyword(s):  
Convergence Rate ◽  
Impulsive Noise ◽  
Affine Projection ◽  
Filter Performance ◽  
Norm Minimization ◽  
Sparse System ◽  
Impulsive Noises ◽  
Sparse Systems ◽  
Sparse System Identification ◽  
Sign Algorithm

An improved affine projection sign algorithm (APSA) was developed herein using a ℒp-norm-like constraint to increase the convergence rate in sparse systems. The proposed APSA is robust against impulsive noise because APSA-type algorithms are generally based on the ℒ1-norm minimization of error signals. Moreover, the proposed algorithm can enhance the filter performance in terms of the convergence rate due to the implementation of the ℒp-norm-like constraint in sparse systems. Since a novel cost function of the proposed APSA was designed for maintaining the similar form of the original APSA, these have symmetric properties. According to the simulation results, the proposed APSA effectively enhances the filter performance in terms of the convergence rate of sparse system identification in the presence of impulsive noises compared to that achieved using the existing APSA-type algorithms.

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