Research Article
Modeling, simulation and signal processing for Control room EMI problem using frequency domain Approach and Bayesian estimation
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 1 - Issue 15 |
| Published: February 2010 |
| Authors: Vidya R. Keshwani, Naveeta Kant, Kallol Roy |
10.5120/312-479
|
| PDF not available |
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 },
year = { 2010 },
volume = { 1 },
number = { 15 },
pages = { 112-119 },
doi = { 10.5120/312-479 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%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%T
%J International Journal of Computer Applications
%V 1
%N 15
%P 112-119
%R 10.5120/312-479
%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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