A Variable Step-Size NLMS Algorithm with Adaptive Coefficient Vector Reusing

Author(s):  
Leonardo C. Resende ◽  
Diego B. Haddad ◽  
Mariane R. Petraglia
2008 ◽  
Vol 88 (9) ◽  
pp. 2346-2349 ◽  
Author(s):  
Ning Li ◽  
Yonggang Zhang ◽  
Yanling Hao ◽  
Jonathon A. Chambers

2012 ◽  
Vol 29 ◽  
pp. 1181-1185 ◽  
Author(s):  
Yong-Gang Zhu ◽  
Yong-Gui Li ◽  
Sheng-Yong Guan ◽  
Qu-Shan Chen

Author(s):  
F. M. Casco-Sánchez ◽  
R. C. Medina-Ramírez ◽  
M. López-Guerrero

In this work we introduce a variable step-size normalized LMS algorithm for adaptive echo cancellation in a FIRstructure. In the proposed scheme, the step-size adjustment is controlled by using the square of the cross-correlationbetween the squared output error and the adaptive filter output. The proposed algorithm (that we call VSSSC aftervariable step size based on the squared cross-correlation) was evaluated using white noise and speech signals.Simulation results show that our proposal achieves better performance than similar algorithms in single and doubletalk. The proposed algorithm can be used in a number of applications such as in echo reduction for long-haul voicecommunications.


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