DC FieldValueLanguage
dc.contributor.authorDendrinos, Markos-
dc.contributor.authorRangoussi, Maria-
dc.contributor.authorCarayiannis, George-
dc.date.accessioned2023-10-26T06:01:27Z-
dc.date.available2023-10-26T06:01:27Z-
dc.date.issued1988-12-01-
dc.identifierscopus-0024124161-
dc.identifier.isbn9517212402-
dc.identifier.issn02714310-
dc.identifier.other0024124161-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/666-
dc.description.abstractThe concept of using more than the minimal set of the normal equations was introduced in spectral analysis in order to counteract the hypersensitvity of the model's parameters. A simultaneous vertical and horizontal extension of the autocorrelation matrix leads to an overdetermined, order-extended system. The application of the overdetermined approach to the analysis of short signal frames is examined. A comparative study of the autocorrelation lags used in the overdetermined matrices, based on the biased and unbiased autocorrelation estimators, as well as their estimation performance, is presented. The authors suggest the use of the biased measure in the case of low SNR (signal-to-noise ratio) and short data records, since experimental results illustrate a sensitivity of the unbiased measure to the noise ratio and the frame length. However, when the conditions become better (higher SNR or more samples available) the unbiased measure tends to yield more accurate estimates than those of the biased one.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings of IEEE International Symposium on Circuits and Systemsen_US
dc.subjectShort data recordsen_US
dc.subjectSpectral analysisen_US
dc.subjectHypersensitivityen_US
dc.subjectAutocorrelation matrixen_US
dc.subjectOverdetermined approachen_US
dc.subjectShort signal framesen_US
dc.subjectAutocorrelation lagsen_US
dc.subjectEstimation performanceen_US
dc.subjectBiased measureen_US
dc.subjectSignal-to-noise ratioen_US
dc.subjectUnbiased measureen_US
dc.subjectFrame lengthen_US
dc.titleOverdetermined spectral analysis of short data recordsen_US
dc.typeConference Paperen_US
dc.relation.conferenceIEEE International Symposium on Circuits and Systems (ISCAS 1988)en_US
dc.identifier.doi10.1109/ISCAS.1988.15235en_US
dc.identifier.scopus2-s2.0-0024124161-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume2en_US
dc.identifier.spage1585en_US
dc.identifier.epage1588en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-5675-3069-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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