International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 99 - Number 6 |
Year of Publication: 2014 |
Authors: K. Yashas Kumar, P. V. Muralidhar, D. V. L. N. Sastry |
10.5120/17376-7862 |
K. Yashas Kumar, P. V. Muralidhar, D. V. L. N. Sastry . Performance Analysis of FrFT based Adaptive Filters with LMS Algorithm. International Journal of Computer Applications. 99, 6 ( August 2014), 15-19. DOI=10.5120/17376-7862
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.