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Interpolated Finite Impulse Response (IFIR) Filter Approach: A Case Study

Published on August 2012 by B N Jagadale
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National Conference on Advanced Computing and Communications 2012
Foundation of Computer Science USA
NCACC - Number 1
August 2012
Authors: B N Jagadale
f6baa3f6-832c-4307-89da-9c3b37df9f5d

B N Jagadale . Interpolated Finite Impulse Response (IFIR) Filter Approach: A Case Study. National Conference on Advanced Computing and Communications 2012. NCACC, 1 (August 2012), 43-45.

@article{
author = { B N Jagadale },
title = { Interpolated Finite Impulse Response (IFIR) Filter Approach: A Case Study },
journal = { National Conference on Advanced Computing and Communications 2012 },
issue_date = { August 2012 },
volume = { NCACC },
number = { 1 },
month = { August },
year = { 2012 },
issn = 0975-8887,
pages = { 43-45 },
numpages = 3,
url = { /proceedings/ncacc/number1/8348-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advanced Computing and Communications 2012
%A B N Jagadale
%T Interpolated Finite Impulse Response (IFIR) Filter Approach: A Case Study
%J National Conference on Advanced Computing and Communications 2012
%@ 0975-8887
%V NCACC
%N 1
%P 43-45
%D 2012
%I International Journal of Computer Applications
Abstract

The finite impulse response filters are inherently stable and have linear phase response property. The main drawback of these filters is lies in requirement of higher orders for similar magnitude response compared to Infinite Impulse response filters. Also the amount of computational complexity needed for the implementation of the filter, especially for the filters with narrow transition band is much higher. In order reduce the computational complexity of narrowband FIR filters, the interpolated FIR (IFIR) filter technique is used.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Linear Phase Narrowband Filter Fir Filter Equiripple Pass Band