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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/977

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contributor.authorSahu, S S-
contributor.authorPanda, G-
contributor.authorGeorge, N V-
date.accessioned2009-07-31T10:30:49Z-
date.available2009-07-31T10:30:49Z-
date.issued2009-
identifier.citationIEEE International Advance Computing Conference, 2009. IACC 2009, Patiala, 6-7 March 2009 Page(s):315 - 319en
identifier.urihttp://dx.doi.org/10.1109/IADCC.2009.4809028-
identifier.urihttp://hdl.handle.net/2080/977-
description.abstractThe time-frequency representation (TFR) has been used as a powerful technique to identify, measure and process the time varying nature of signals. In the recent past S-transform gained a lot of interest in time-frequency localization due to its superiority over all the existing identical methods. It produces the progressive resolution of the wavelet transform maintaining a direct link to the Fourier transform. The S-transform has an advantage in that it provides multi resolution analysis while retaining the absolute phase of each frequency component of the signal. But it suffers from poor energy concentration in the time-frequency domain. It gives degradation in time resolution at lower frequency and poor frequency resolution at higher frequency. In this paper we propose a modified Gaussian window which scales with the frequency in a efficient manner to provide improved energy concentration of the S-transform. The potentiality of the proposed method is analyzed using a variety of test signals. The results of the study reveal that the proposed scheme can resolve the time-frequency localization in a better way than the standard S-transform.en
format.extent281690 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectFourier transformsen
subjectGaussian processesen
subjectsignal processingen
subjecttime-frequency analysisen
subjectwavelet transformsen
titleAn Improved S-Transform for Time-Frequency Analysisen
typeArticleen
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