A variable‐step size NLMS algorithm based on the cross‐correlation between the squared output error and the near‐end input signal

2019 ◽  
Vol 14 (8) ◽  
pp. 1197-1202
Author(s):  
Fausto Casco‐Sanchez ◽  
Miguel Lopez‐Guerrero ◽  
Sergio Javier‐Alvarez ◽  
Reyna Carolina Medina‐Ramirez
Keyword(s):  
Input Signal ◽  
Cross Correlation ◽  
Variable Step Size ◽  
Step Size ◽  
Output Error ◽  
Nlms Algorithm ◽  
Variable Step ◽  
The Cross

scholarly journals A New Variable Step-Size NLMS Algorithm and its Performance Evaluation in Echo Cancelling Applications

2011 ◽  
Vol 9 (03) ◽  
Author(s):  
F. M. Casco-Sánchez ◽  
R. C. Medina-Ramírez ◽  
M. López-Guerrero
Keyword(s):  
Cross Correlation ◽  
Echo Cancellation ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Filter Output ◽  
Nlms Algorithm ◽  
Variable Step ◽  
Size Adjustment ◽  
Normalized Lms

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.

A new variable step-size NLMS algorithm designed for applications with exponential decay impulse responses

2008 ◽  
Vol 88 (9) ◽  
pp. 2346-2349 ◽  
Author(s):  
Ning Li ◽  
Yonggang Zhang ◽  
Yanling Hao ◽  
Jonathon A. Chambers
Keyword(s):  
Exponential Decay ◽  
Variable Step Size ◽  
Impulse Responses ◽  
Step Size ◽  
Nlms Algorithm ◽  
Variable Step
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