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Reseach Article

Multiplier-less Farrow Structure based Linear Phase Low Pass Interpolation Filter

by Nisha Haridas, Aravind Illa, Elizabeth Elias
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 14
Year of Publication: 2014
Authors: Nisha Haridas, Aravind Illa, Elizabeth Elias
10.5120/16659-6645

Nisha Haridas, Aravind Illa, Elizabeth Elias . Multiplier-less Farrow Structure based Linear Phase Low Pass Interpolation Filter. International Journal of Computer Applications. 95, 14 ( June 2014), 1-6. DOI=10.5120/16659-6645

@article{ 10.5120/16659-6645,
author = { Nisha Haridas, Aravind Illa, Elizabeth Elias },
title = { Multiplier-less Farrow Structure based Linear Phase Low Pass Interpolation Filter },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 14 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number14/16659-6645/ },
doi = { 10.5120/16659-6645 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:25.337219+05:30
%A Nisha Haridas
%A Aravind Illa
%A Elizabeth Elias
%T Multiplier-less Farrow Structure based Linear Phase Low Pass Interpolation Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 14
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a totally multiplier-less farrow structure based linear phase low-pass interpolation filter. When implemented using farrow structure, it has inherently low number of multipliers and adders compared to that using finite impulse response (FIR) filter structure. To further reduce the implementation complexity, the structure is made totally multiplier-less. Canonic signed digit (CSD) representation of the filter coefficients is made use of in this paper. A meta-heuristic optimization algorithm is deployed to obtain optimal CSD representation. Reduction in the implementation complexity leads to lower power consumption, chip area and cost.

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Index Terms

Computer Science
Information Sciences

Keywords

Farrow Interpolation Filter Integer Sampling rate conversion ABC optimization Canonic Signed Digit