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Optimal Design of Low Pass Filter by Rectangular Window, Triangular Window, Bartlett Window, Hamming Window and Parzon Window Technique

Author(s):

Rahul Kurrey , Institute of Technology, Korba; Pranay Kumar Rahi, Institute of Technology, Korba; Shashi Kant Verma, Institute of Technology, Korba; Ghanshyam Prasad Sharvan, Institute of Technology, Korba

Keywords:

DSP, FFT, FIR, Matlab, Window Function, Frequency Sampling, Amplitude-Frequency

Abstract

Research and development over the past for decades has led to significant advantages in the field of Digital Signal Processing. There are several windows used for truncated the impulse response in order to fix the filter size. The proposed adaptive Finite Impulse Response (FIR) Filter is designed and implemented to merge many filter parameters. The results are obtained in different window sizes and different attenuations. In this paper low pass, finite impulse response (FIR) filters are designed using the different Windows and their corresponding magnitude and phase responses are analyzed at a given filter order and its cut-off frequency.

Other Details

Paper ID: IJSRDV5I40439
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 383-391

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