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 |
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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
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.