NDLI: An approach to implement LMS and NLMS adaptive noise cancellation algorithm in frequency domain

Content Provider	IEEE Xplore Digital Library
Author	Nagal, R. Kumar, P. Bansal, P.
Copyright Year	2014
Description	Author affiliation: Dept. of ECE/ICE, ASET, New Delhi, India (Nagal, R.) \|\| Dept. of ECE., Amity Univ., Noida, India (Kumar, P.) \|\| Dept. of CSE Dept., MSIT, New Delhi, India (Bansal, P.)
Abstract	This paper presents the implementation of adaptive algorithms like Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) in the frequency domain and their comparison to that implemented in the time domain. Adaptive filtering using adaptive algorithm in frequency domain can be done by taking Fourier Transform of input signal and independent weigh coefficient. By frequency domain approach significant reduction in mathematical computation has been achieved. An expression for updating the weights is implemented in the frequency domain and statistical analysis has been performed. The SNR (Signal to Noise Ratio) is a parameter used to evaluate the performance with different step size. The signal power and noise power has also been calculated using MATLAB. The SNR of output signal rises about 8-9 times in frequency domain than the time domain.
Starting Page	871
Ending Page	876
File Size	1021280
Page Count	6
File Format	PDF
e-ISBN	9781479942367
DOI	10.1109/CONFLUENCE.2014.6949268
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares approximations Time Domain Frequency-domain analysis Signal to Noise Ratio Frequency Domain Adaptive filters SNR Filtering algorithms LMS algorithm Time-domain analysis Signal to noise ratio NLMS algorithm
Content Type	Text
Resource Type	Article

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