CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Adaptive Noise Cancellation using Transform Domain Adaptive Algorithms

Published on August 2018 by Deepak Gupta, V. K. Gupta, A. N. Mishra
journal_cover_thumbnail

National Conference on Recent Trends in Electronics and Electrical Engineering
Foundation of Computer Science USA
NCRTEEE2017 - Number 1
August 2018
Authors: Deepak Gupta, V. K. Gupta, A. N. Mishra
661bf8ff-653e-46f1-9a70-800ee400ef31

Deepak Gupta, V. K. Gupta, A. N. Mishra . Adaptive Noise Cancellation using Transform Domain Adaptive Algorithms. National Conference on Recent Trends in Electronics and Electrical Engineering. NCRTEEE2017, 1 (August 2018), 6-10.

@article{
author = { Deepak Gupta, V. K. Gupta, A. N. Mishra },
title = { Adaptive Noise Cancellation using Transform Domain Adaptive Algorithms },
journal = { National Conference on Recent Trends in Electronics and Electrical Engineering },
issue_date = { August 2018 },
volume = { NCRTEEE2017 },
number = { 1 },
month = { August },
year = { 2018 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/ncrteee2017/number1/29883-1703/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Electronics and Electrical Engineering
%A Deepak Gupta
%A V. K. Gupta
%A A. N. Mishra
%T Adaptive Noise Cancellation using Transform Domain Adaptive Algorithms
%J National Conference on Recent Trends in Electronics and Electrical Engineering
%@ 0975-8887
%V NCRTEEE2017
%N 1
%P 6-10
%D 2018
%I International Journal of Computer Applications
Abstract

This paper presents the MATLAB simulation of different transform domain adaptive algorithms for adaptive noise cancellation system. The algorithms implemented are transform domain normalized least mean square(TDNLMS), discrete cosine transform domain normalized least mean square (DCTNLMS), transform domain least mean square (TDLMS), and discrete cosine transform least mean square(DCTLMS). The advantages of the transform domain algorithms are its low computational complexity, superior convergence performance and efficient implementation in comparison to conventional NLMS and LMS algorithms. The performances of the implemented algorithms are evaluated by the signal to noise ratio (SNR) improvements, minimum mean square error (MSE),convergence and robustness parameters.

References
  1. Symon Haykin, Adaptive filter theory, 3rd edition, Prentice-Hall, 1996.
  2. B. Farhang Boroujeny, "Adaptive Filters, Theory and Applications", John Wiley and Sons, New York, 1999.
  3. A. H. Sayed, "Fundamentals of Adaptive Filtering", New York , Wiley, 2003.
  4. S. M. Kuo, X. Kong, and W. S. Gan, "Applications of adaptive feedback active noise control system", IEEE Trans. Contr. Syst. Technol. , vol. 11, no. 2, pp. 216–220, 2000.
  5. D. K. Gupta, V. K. Gupta, and Mahesh Chandra, "A Review Paper on linear and nonlinear Acoustic echo cancellation", In Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-14), vol 2, pp. 465-473, 2014.
  6. Sangeeta Sharm, Deepak Gupta, V K Gupta, Mahesh Chandra, "A Review on Transform Domain Adaptive Filters" , International Journal of Computer Science and Information Technologies, vol. 5, no. 5, pp. 6609-6613, 2014.
  7. Shynk J. J, "Frequency-domain and multirate adaptive filtering," IEEE Signal Processing Magazine, pp. 15-37, January 1992.
  8. F. Beaufays, "Transform-domain adaptive filters: An analytical approach," IEEE Trans. Signal Processing, vol. 43, pp. 422–431, Feb. 1995.
  9. S. S. Narayan, A. M. Peterson, and M. J. Narashima, "Transform domain LMS algorithm", IEEE Trans. Acoust. , Speech, Signal Processing, vol. 31, pp. 609–615, June 1983.
  10. V. N. Parikh and A. Z. Baraniecki, "The use of the modified escalador algorithm to improve the performance of transform domain LMS adaptive filters," IEEE Trans. Signal Processing, vol. 46, pp. 625–635, Mar. 1998.
  11. S. Florian and N. J. Bershad, "A weighted normalized frequency domain LMS adaptive algorithm," IEEE Trans. Acoust. , Speech, Signal Processing, vol. 38, pp. 788–798, July 1988.
  12. D. I. Kim and P. De Wilde, "Performance analysis of the DCT-LMS adaptive filtering algorithm," Signal Process. , vol. 80, no. 8, pp. 1629–1654, Aug. 2000.
  13. K. Mayyas and T. Aboulnasr, "Reduced-complexity transformdomain adaptive algorithm with selective coefficient update," IEEE Transactions on Circuit and System-II: Express Briefs, vol. 51, no. 3, pp. 136-142, March 2004.
  14. Chandrasekhar Radhakrishnan and William Kenneth Jenkins, "Fault tolerance in transform-domain adaptive filters operating with realvalued signals," IEEE Transaction on Circuit and Systems-I: Regular Papers, vol. 57, no. 1, pp. 166-178, January 2010.
  15. K. Samudravijaya, "Hindi Speech Database", Proc. ICSLP00, Beijing, China, CDROM 00192. pdf.
  16. A. Varga, H. J. M. Steeneken and D. Jones, "The noisex-92 study on the effect of additive noise on automatic speech recognition system", Reports of NATO Research Study Group (RSG. 10), 1992.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Algorithms Tdnlms Tdlms Dctnlms Dctlms Snr Mse