Research Article
Filtering in Time-Frequency Domain using STFrFT
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 69 - Issue 26 |
| Published: May 2013 |
| Authors: Pragati Rana, Vaibhav Mishra, Rahul Pachauri |
10.5120/12133-8391
|
Pragati Rana, Vaibhav Mishra, Rahul Pachauri . Filtering in Time-Frequency Domain using STFrFT. International Journal of Computer Applications. 69, 26 (May 2013), 5-9. DOI=10.5120/12133-8391
@article{ 10.5120/12133-8391,
author = { Pragati Rana,Vaibhav Mishra,Rahul Pachauri },
title = { Filtering in Time-Frequency Domain using STFrFT },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 69 },
number = { 26 },
pages = { 5-9 },
doi = { 10.5120/12133-8391 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Pragati Rana
%A Vaibhav Mishra
%A Rahul Pachauri
%T Filtering in Time-Frequency Domain using STFrFT%T
%J International Journal of Computer Applications
%V 69
%N 26
%P 5-9
%R 10.5120/12133-8391
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The Fractional Fourier Transform is a generalized form of Fourier Transform, which can be interpreted as a rotation by angle ? in time-frequency plane or decomposition of signals in terms of chirps. However it fails in locating Fractional Fourier Domain Frequency contents. Short-time FRFT variants are suitable for analysis of multicomponent and non-linear chirp signals with improved time-frequency resolution. Short-Time FRFT is the simultaneous representation of, combination of the time and FRFD-frequency information. Filtering in the fractional domain separates the noise and the highly concentrated signal. Filtering results depict that the results in fractional domain give better results. The time-frequency representation in fractional domain is useful tool for various applications like filtering of chirp signals. Simulations are performed on MATLAB platform.
References
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