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Modeling, simulation and signal processing for Control room EMI problem using frequency domain Approach and Bayesian estimation

by Vidya R. Keshwani, Naveeta Kant, Kallol Roy
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 15
Year of Publication: 2010
Authors: Vidya R. Keshwani, Naveeta Kant, Kallol Roy
10.5120/312-479

Vidya R. Keshwani, Naveeta Kant, Kallol Roy . Modeling, simulation and signal processing for Control room EMI problem using frequency domain Approach and Bayesian estimation. International Journal of Computer Applications. 1, 15 ( February 2010), 112-119. DOI=10.5120/312-479

@article{ 10.5120/312-479,
author = { Vidya R. Keshwani, Naveeta Kant, Kallol Roy },
title = { Modeling, simulation and signal processing for Control room EMI problem using frequency domain Approach and Bayesian estimation },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 15 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 112-119 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number15/312-479/ },
doi = { 10.5120/312-479 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:43:28.105100+05:30
%A Vidya R. Keshwani
%A Naveeta Kant
%A Kallol Roy
%T Modeling, simulation and signal processing for Control room EMI problem using frequency domain Approach and Bayesian estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 15
%P 112-119
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The problem of separation of mixed signal spectrum is encountered in many engineering systems. One such problem is a problem of electromagnetic topology wherein mixed signals at spatial points are encountered and one would like to separate them out using digital signal processing tools. This paper discusses techniques such as fast Fourier transform, short term Fourier transform, wavelet transform and Hilbert Huang transform in light of this application. Advantages and limitations of each technique are bought out for above said problem.

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Index Terms

Computer Science
Information Sciences

Keywords

Signal wavelets Kalman filter

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