CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Adaptive Variable Step-Size Algorithm for Acoustic Noise Cancellation by using Multiple Sub-Filters Approach

by Amira A. Mohamed, Waleed M. El-nahal, Adel E. El-hannawy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 8
Year of Publication: 2014
Authors: Amira A. Mohamed, Waleed M. El-nahal, Adel E. El-hannawy
10.5120/18772-0077

Amira A. Mohamed, Waleed M. El-nahal, Adel E. El-hannawy . Adaptive Variable Step-Size Algorithm for Acoustic Noise Cancellation by using Multiple Sub-Filters Approach. International Journal of Computer Applications. 107, 8 ( December 2014), 20-23. DOI=10.5120/18772-0077

@article{ 10.5120/18772-0077,
author = { Amira A. Mohamed, Waleed M. El-nahal, Adel E. El-hannawy },
title = { Adaptive Variable Step-Size Algorithm for Acoustic Noise Cancellation by using Multiple Sub-Filters Approach },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 8 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number8/18772-0077/ },
doi = { 10.5120/18772-0077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:32.161638+05:30
%A Amira A. Mohamed
%A Waleed M. El-nahal
%A Adel E. El-hannawy
%T Adaptive Variable Step-Size Algorithm for Acoustic Noise Cancellation by using Multiple Sub-Filters Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 8
%P 20-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a novel algorithm for cancelling noise from the speech signal in real time environment is proposed. Least Mean Square (LMS) adaptive noise cancellers are often used to recover signal corrupted by additive noise due to its simplicity in implementation. But it has limitation when the desired signal is strong, that the excess mean-square errors increase linearly with the desired signal power. This results in downgraded performance when the desired signal exhibits large power fluctuations. In the proposed algorithm we use the benefits of both variable step size (VSS) LMS algorithm and Normalized Differential LMS (NDLMS) algorithm to deal with this situation. One more addition of this algorithm is that it uses the concept of decomposing the long adaptive filter into low order multiple sub-filters to relieve the effect of slow convergence of that long adaptive filter. Finally, The proposed (P-VSSNDLMS) algorithm yields faster convergence with minimum mean square error in simulations which carried out using real speech signal with different noise power levels.

References
  1. J. E. Greenberg, "Modified LMS algorithms for speech processing with an adaptive noise canceller", IEEE Trans. Speech audio process. vol 6, no4, pp 338-358 ,July 1998.
  2. M. A. RAJA, Dr. A. SHANMUGAM, "Performance analysis of adaptive algorithms For noise cancellation in speech processing", Journal of Theoretical and Applied Information Technology, 2013, Vol. 48 No. 2
  3. R. Bilcu, P. Kuosmanen, K. Egiazarian, A new variable length LMS algorithm: theoretical analysis and implementation ,9th International conference on Electronics, Circuits and Systems, Vol. 3, 2002, pp. 1031-1034
  4. Gorriz, J. M. Ramirez, J. Cruces-Alvarez, S. Puntonet, C. G. Lang, E. W. Erdogmus, "A novel LMS algorithm applied to adaptive noise cancellation", IEEE signal Processing Letters Vol 16 , pp 34-37.
  5. Jiashu Zhang and Heng-Ming Tai, "Adaptive Noise Cancellation Algorithm for Speech Processing", the 33rd Annual Conference of User the IEEE Industrial Electronics Society. (IECON) Taipei, Taiwan.
  6. R. N. Sharma, A. K. Chaturvedi and G. Sharma, "Acoustic echo cancellation using multiple sub-filters", IIT Kanpur.
  7. Joseph Petrone, "Adaptive Filter Architectures for FBGA Implementation ", June 2004.
  8. Ran Meng," Sparsity-aware Adaptive Filtering Algorithms and Applications to System Identification", December 2011.
  9. Jashvir Chhikara, Jabir Singh, "Noise Cancellation using Adaptive Algorithms", International Journal of Modern Engineering Research (IJMER), Vol. 2, Issue. 3, May-June 2012 pp-792-795
  10. Oyerinde and S. H. Mneney, " Variable Step Size Algorithms for Network Echo Cancellation" , UbiCC Journal, Volume 4, Number 3, August 2009
  11. Amin M. Nassar , Ashraf M. Ali, "Multiple Sub-Filters Approach to Acoustic Echo Cancellation " , 25th National Radio Science Conference (NRSC), March 2008
  12. M. Jaber , "The Ultra High Speed LMS Algorithm Implemented on Parallel Architecture Suitable for Multidimensional Adaptive Filtering" US patent No. 7,533,140, 2009
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Noise canceller (ANC) mean square error (MSE) VSSNDLMS multiple sub-filters.

Powered by PhDFocusTM