Show simple item record

dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:37:51Z
dc.date.available2019-12-02T10:37:51Z
dc.date.issued2005
dc.identifier.issn1070-9908
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57514
dc.description.abstractThe spectral estimation method based on the average of short, tapered periodograms is re-examined. The bias of such estimators is typically O(1/b2), where b is the length of the short blocks. Much of the current researeh on multitapering has been focusing on reducing the proportionality constant implicit in the term O(1/b2). In this letter, we show how-with the use of complex-valued tapers-the bias of the spectral estimator can be reduced by orders of magnitude becoming O(1/bp) for (possibly) high p. Expressions for the estimators' variance and MSE are presented with an aim toward optimal estimation. An automatic method of optimally choosing the block size b is given. Finally, the usage of multiple complex tapers is proposed in an effort to reduce sidelobe size and improve finite-sample performance. © 2005 IEEE.en
dc.sourceIEEE Signal Processing Lettersen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-23744483147&doi=10.1109%2fLSP.2005.849492&partnerID=40&md5=7cd019aa54817001696ea75dc5e87ddd
dc.subjectMathematical modelsen
dc.subjectEstimationen
dc.subjectOptimizationen
dc.subjectApproximation theoryen
dc.subjectBandwidthen
dc.subjectSignal processingen
dc.subjectGraph theoryen
dc.subjectSpectrum analysisen
dc.subjectHarmonic analysisen
dc.subjectPeriodogramsen
dc.subjectSpectral estimatoren
dc.subjectBandwidth choiceen
dc.subjectBartlett estimatoren
dc.subjectFlat-top lag windowsen
dc.subjectMultitaperingen
dc.subjectPower spectrumen
dc.titleComplex-valued tapersen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/LSP.2005.849492
dc.description.volume12
dc.description.issue7
dc.description.startingpage512
dc.description.endingpage515
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 :4</p>en
dc.source.abbreviationIEEE Signal Process.Lett.en


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record