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Comparative Analysis of Polynomial FIR Multirate DSP Applications

by S. Arunkumar, P. Ganesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 15
Year of Publication: 2012
Authors: S. Arunkumar, P. Ganesh Kumar
10.5120/7421-0155

S. Arunkumar, P. Ganesh Kumar . Comparative Analysis of Polynomial FIR Multirate DSP Applications. International Journal of Computer Applications. 48, 15 ( June 2012), 1-3. DOI=10.5120/7421-0155

@article{ 10.5120/7421-0155,
author = { S. Arunkumar, P. Ganesh Kumar },
title = { Comparative Analysis of Polynomial FIR Multirate DSP Applications },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 15 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number15/7421-0155/ },
doi = { 10.5120/7421-0155 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:06.374499+05:30
%A S. Arunkumar
%A P. Ganesh Kumar
%T Comparative Analysis of Polynomial FIR Multirate DSP Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 15
%P 1-3
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multirate DSP systems in which different parts at different sampling rates. The icrease in the sampling interval results in more time availble for processing. Decimation generally icludes first low-pass filtering the signal and then discarding some of the samples. Zero stuffing is performed in the process of interpolating a discrete-time signal, and then low-pass filtering the resulting signal. The proposed decimator is implemented using MATLAB as standard FIR, Half Band FIR and Nyquist FIR by using the multistage design techniques. The performance of different decimator designs is compared in terms of error and hardware requirements. The results show that the performance of all designs is almost identical but their implementation cost varies greatly in terms of hardware requirements. The hardware saving of 49% to 84% can be achieved by using multistage Nyquist decimator design. Reduced computational work load,lower filter order, lower coefficient sensitivity and noise and less stringent memory requirements.

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Index Terms

Computer Science
Information Sciences

Keywords

Zero-stuffing Decimation Music aliasing

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