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Performance Analysis of FrFT based Adaptive Filters with LMS Algorithm

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 6
Year of Publication: 2014
Authors:
K. Yashas Kumar
P. V. Muralidhar
D. V. L. N. Sastry
10.5120/17376-7862

Yashas K Kumar, P V Muralidhar and D V L N Sastry. Article: Performance Analysis of FrFT based Adaptive Filters with LMS Algorithm. International Journal of Computer Applications 99(6):15-19, August 2014. Full text available. BibTeX

@article{key:article,
	author = {K. Yashas Kumar and P. V. Muralidhar and D. V. L. N. Sastry},
	title = {Article: Performance Analysis of FrFT based Adaptive Filters with LMS Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {6},
	pages = {15-19},
	month = {August},
	note = {Full text available}
}

Abstract

Fractional Fourier Transform function (FrFT) is a generalization of Fourier transforms (FT). Finite Impulse Response (FIR) filters are implemented based on Fractional Fourier transform domains, then modified filters characteristics some what tunable when compare with existing FT based FIR filters. So, in our proposals implementation is made on the FrFT FIR filters for different windows like Rectangle, Bartlett, Hamming, Hanning, and Kaiser, based on the adaptive algorithms ,and the performance of the proposed filters is made by SNR values of the different obtain filters for given noisy sinusoidal inputs.

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