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Design of FIR Filter Efficient Utilization of Speech Signal

Author(s):

Geeta Aravattu , BLDEA's Dr.P.G.HALAKATTI COLLEGE OF ENGINEERING VIJAYPUR; Akanksha Raj, BLDEA's Dr.P.G.HALAKATTI COLLEGE OF ENGINEERING VIJAYPUR; Arshiyanaz Khateeb, BLDEA's Dr.P.G.HALAKATTI COLLEGE OF ENGINEERING VIJAYPUR; Fakrunnisa Balaganur, BLDEA's Dr.P.G.HALAKATTI COLLEGE OF ENGINEERING VIJAYPUR

Keywords:

Introduction, FIR filter, Impulse response, Magnitude response, Equivalent noise bandwidth, Group delay, Periodogram.

Abstract

Digital filters are very effective in the present generation of communication systems. The digital filter performance is important and hence to design a digital finite impulse response (FIR) filter for reduction of noise from signal and improve the efficiency of the signal using different methods. A zero-valued window function is a mathematical function that is choosen outside some interval. The product is also zero-valued outside the interval, When another function is multiplied by a window function. The performance of different windows like Hamming, Hanning, Bartlett and Blackman window have been mainly compared with their magnitude response, phase response, equivalent noise bandwidth, response in time and frequency domain using MATLAB simulation. Comparing simulation results of different windows, it has been found that Blackman window is better than Hamming, Hanning, and Bartlett windows. These windows have also been encountered with speech signal using MATLAB simulation.

Other Details

Paper ID: IJSRDV3I30807
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1295-1299

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