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dc.contributor.authorKashif, Faisal Mahmood
dc.contributor.authorShafi, Imran
dc.contributor.authorAhmad, Jamil
dc.contributor.authorShah, Syed Ismail
dc.contributor.authorIkram, Ataul Aziz
dc.contributor.authorKhan, Adnan Ahmad
dc.contributor.authorBashir, Sajid
dc.date.accessioned2011-02-22T18:38:33Z
dc.date.available2011-02-22T18:38:33Z
dc.date.issued2010-01
dc.date.submitted2009-12
dc.identifier.issn1687-6172
dc.identifier.urihttp://hdl.handle.net/1721.1/61007
dc.description.abstractThis work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based method. The approaches are rigorously compared to each other using several objective measures. Experimental results show that the neural network-based TFDs are better in concentration and resolution performance based on various examples.en_US
dc.language.isoen_US
dc.publisherEuropean Association for Signal Processing / Hindawien_US
dc.relation.isversionofhttp://dx.doi.org/10.1155/2010/806043en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/en_US
dc.sourceHindawien_US
dc.titleHigh-Resolution Time-Frequency Methods' Performance Analysisen_US
dc.typeArticleen_US
dc.identifier.citationShafi, Imran et al. “High-Resolution Time-Frequency Methods' Performance Analysis.” EURASIP Journal on Advances in Signal Processing 2010 (2010): 1-7.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systemsen_US
dc.contributor.approverKashif, Faisal Mahmood
dc.contributor.mitauthorKashif, Faisal Mahmood
dc.relation.journalEURASIP Journal on Advances in Signal Processingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsShafi, Imran; Ahmad, Jamil; Shah, Syed Ismail; Ikram, Ataul Aziz; Ahmad Khan, Adnan; Bashir, Sajid; Kashif, Faisal Mahmooden
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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