DocumentCode
3715355
Title
An approach to implement VSS-LMS algorithm in frequency domain for adaptive noise cancellation
Author
Rachana Nagal;Pradeep Kumar;Poonam Bansal
Author_Institution
Department of ECE/ICE, ASET, Amity Bijwasan, New Delhi
fYear
2015
Firstpage
18
Lastpage
21
Abstract
This paper presents the Variable Step Size Least Mean Square algorithm formulated in frequency domain by taking the (Fast Fourier Transform) FFT of signal obtained from filter. This way the algorithms performed better than its implementation in time domain in terms of Signal to Noise Ratio (SNR). The algorithms implemented in MATLAB with different colored noise surroundings. To evaluate the performance of the algorithm its comparison has been done with time domain. The algorithm has given 5-44% increased SNR compared to that implemented in time domain with different type of colored noises. The algorithm has also been tested in frequency domain for different step sizes.
Keywords
"Frequency-domain analysis","Signal processing algorithms","Least squares approximations","Time-domain analysis","Signal to noise ratio","Convergence","Algorithm design and analysis"
Publisher
ieee
Conference_Titel
Computer and Computational Sciences (ICCCS), 2015 International Conference on
Print_ISBN
978-1-4799-1818-8
Type
conf
DOI
10.1109/ICCACS.2015.7361315
Filename
7361315
Link To Document