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GENERAL METHOD OF MINIMUM CROSS-ENTROPY SPECTRAL ESTIMATION.

dc.contributor.authorTzannes, Michael A.en
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.contributor.authorTzannes, N. S.en
dc.creatorTzannes, Michael A.en
dc.creatorPolitis, Dimitris Nicolasen
dc.creatorTzannes, N. S.en
dc.date.accessioned2019-12-02T10:38:38Z
dc.date.available2019-12-02T10:38:38Z
dc.date.issued1985
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57715
dc.description.abstractA new, general approach to estimating power spectra based on minimizing a cross-entropy functional involving spectral densities is presented. Examples are worked out using this approach as well as J. E. Shore's (1979) minimum cross-entropy spectral analysis (MCESA) and J. P. Burg's (1967) maximum entropy spectral analysis (MESA). The results show that aside from its wider applicability, ease of implementation, and pedagogical advantage, the method performs better than MESA and as well as, or better than, MCESA.en
dc.sourceIEEE Transactions on Acoustics, Speech, and Signal Processingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0022082086&partnerID=40&md5=2c82f82460cca6b8bcf7be274c722bbe
dc.subjectCROSS-ENTROPY FUNCTIONALen
dc.subjectOPTIMIZATIONen
dc.subjectPOWER SPECTRA ESTIMATIONen
dc.subjectSPECTRUM ANALYSISen
dc.titleGENERAL METHOD OF MINIMUM CROSS-ENTROPY SPECTRAL ESTIMATION.en
dc.typeinfo:eu-repo/semantics/article
dc.description.volumeASSP-33en
dc.description.issue3
dc.description.startingpage748
dc.description.endingpage752
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :19</p>en
dc.source.abbreviationIEEE Trans Acoust Speech Signal Processen


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