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 :
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