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.contributor.authorSharma, Jitain-
dc.contributor.authorSharma, Sunildatt-
dc.date.accessioned2022-07-25T05:11:09Z-
dc.date.available2022-07-25T05:11:09Z-
dc.date.issued2016-
dc.identifier.issn2319:2682-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5142-
dc.descriptionInternational Journal of Advanced Information Science and Technology (IJAIST) ISSN: 2319:2682 Vol.5, No.12, December 2016 DOI:10.15693/ijaist/2016.v5i12.22-24en_US
dc.description.abstractNow 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.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectNon-stationary signalsen_US
dc.subjectchirp signalsen_US
dc.titleAnalysis of Multi-component Signals using Covariance based Modified S-transformen_US
dc.typeArticleen_US
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