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Reseach Article

Filter Design Problems with Convex Optimization

by Sachin Rastogi, Sanjeev Rajan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 28
Year of Publication: 2018
Authors: Sachin Rastogi, Sanjeev Rajan
10.5120/ijca2018916544

Sachin Rastogi, Sanjeev Rajan . Filter Design Problems with Convex Optimization. International Journal of Computer Applications. 180, 28 ( Mar 2018), 35-40. DOI=10.5120/ijca2018916544

@article{ 10.5120/ijca2018916544,
author = { Sachin Rastogi, Sanjeev Rajan },
title = { Filter Design Problems with Convex Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 180 },
number = { 28 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 35-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number28/29156-2018916544/ },
doi = { 10.5120/ijca2018916544 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:05.516127+05:30
%A Sachin Rastogi
%A Sanjeev Rajan
%T Filter Design Problems with Convex Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 28
%P 35-40
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we consider the design of FIR filters that satisfy magnitude specifications. We refer to such design problems as magnitude filter design problems. In this paper it is shown that by a change of variables, a wide variety of magnitude filter design problems can be posed as convex optimization problems, i.e., problems in which the objective and constraint functions are convex.

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Index Terms

Computer Science
Information Sciences

Keywords

finite-duration impulse response (FIR) convex optimization filter design spectral factorization.