Analysis of Multi-component Signals using Covariance based Modified S-transform

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5142

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DC Field	Value	Language
dc.contributor.author	Sharma, Jitain	-
dc.contributor.author	Sharma, Sunildatt	-
dc.date.accessioned	2022-07-25T05:11:09Z	-
dc.date.available	2022-07-25T05:11:09Z	-
dc.date.issued	2016	-
dc.identifier.issn	2319:2682	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5142	-
dc.description	International Journal of Advanced Information Science and Technology (IJAIST) ISSN: 2319:2682 Vol.5, No.12, December 2016 DOI:10.15693/ijaist/2016.v5i12.22-24	en_US
dc.description.abstract	Now a day’s time-frequency based method plays an important role for the analysis of the non-stationary, chirp, and multi-component signals. For analysis of these signals, covariance based S-transform has been proposed and its performance has been compared with short time Fourier transform, and S-transform.	en_US
dc.language.iso	en	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Non-stationary signals	en_US
dc.subject	chirp signals	en_US
dc.title	Analysis of Multi-component Signals using Covariance based Modified S-transform	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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