A fast convergence normalized least-mean-square type algorithm for adaptive filtering

2013 ◽  
Vol 28 (10) ◽  
pp. 1073-1080 ◽  
Author(s):  
A. Benallal ◽  
M. Arezki
Keyword(s):  
Adaptive Filtering ◽  
Fast Convergence ◽  
Mean Square ◽  
Least Mean Square ◽  
Type Algorithm ◽  
Normalized Least Mean Square

scholarly journals Impact of Higher Order Adaptive Filtering for Stereo System Audio Signal

2017 ◽  
Vol 6 (3) ◽  
pp. 623
Author(s):  
A.A Amin ◽  
M. S. Islam ◽  
M. A. Masud ◽  
M. N. H. Khan
Keyword(s):  
Adaptive Filtering ◽  
Adaptive Filter ◽  
Audio Signal ◽  
Higher Order ◽  
Mean Square ◽  
Least Mean Square ◽  
Audio File ◽  
Normalized Least Mean Square ◽  
Filter Process ◽  
Audio System

In present stereo audio system is a most popular audio system for different purposes. Now a day’s stereo system is commonly used in communication and other purposes. Moreover Normalized Least Mean Square (NLMS) based adaptive filtering is an effective filtering process in case of communication and other applications. However adaptive filtering is an adaptive filter process to cancel out the noise from audio signal successfully. Hence the main objective of this paper is to design a NLMS adaptive filter which cancels out the noise from a noisy wave format stereo audio file. Moreover by varying the order of the adaptive filter (such as 8<sup>th</sup>, 16<sup>th</sup>, 32<sup>th</sup> and 64<sup>th</sup>), the performance of the NMLS adaptive filtered signal with respect to reference and noisy stereo audio signal are analyzed as well.

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