Paper Info
Title
An unique adaptive noise canceller with advanced variable-step BLMS algorithm
Abstract
In recent times noise cancellation is a vital issue, as it is responsible for reducing undesired disturbances in the process of communication. Active Noise Cancellation (ANC) is the most effective technique to cancel noise. ANC has been an active area of research and various adaptive methodologies have been employed to achieve a better ANC scheme. In the ANC technique, the aim is to minimize the noise interference that corrupts the original signal. ANC has a broad variety of applications in common commercial products, industrial uses and other machinery. An analysis of the prevailing adaptive methodologies is necessary for future research as we need to know the demerits of all the prevailing adaptive methodologies in ANC. This paper provides an analysis of various adaptive algorithms for noise cancellation and a comparison is made between them. The strengths, weaknesses and practical effectiveness of all the algorithms have been discussed. This paper deals with cancellation of noise on speech signal using three existing algorithms- Least Mean Square (LMS) algorithm, Normalized Least Mean Square (NLMS) algorithm and Recursive Least Square (RLS) algorithm and a proposed algorithm- advanced Block Least Mean Square (BLMS) algorithm. The algorithms are simulated in MATLAB platform and a tabular comparison of the algorithms is drawn. Finally, conclusions have been drawn by choosing the algorithms that provide efficient performance with less computational complexity.
Year
DOI
Venue
2015
10.1109/ICACCI.2015.7275605
2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Keywords
Field
DocType
Noise cancellation,Adaptive filter,Least Mean Square,Normalized Least Mean Square,Recursive Least Square,Block Least Mean Square
Least squares,Least mean squares filter,Convergence (routing),MATLAB,Algorithm design,Computer science,Algorithm,Active noise control,Recursive least squares filter,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-4799-8790-0
2
0.37
References 
Authors
4
6
Name
Order
Citations
PageRank
Monali Dhal120.37
Monalish Ghosh220.37
Pankaj Goel320.71
Asutosh Kar4156.33
Shibalik Mohapatra520.71
Mahesh Chandra66916.38