Spectrum analysis using a new autocorrelation measure

dc.contributor.author	Δενδρινός, Μάρκος Ν.	el
dc.contributor.author	Καραγιάννης, Γεώργιος	el
dc.contributor.author	Dendrinos, Markos N.	en
dc.contributor.author	Karagiannis, Georgios A.	en
dc.date.accessioned	2015-04-17T11:20:27Z
dc.date.available	2015-04-17T11:20:27Z
dc.date.issued	2015-04-17
dc.identifier.uri	http://hdl.handle.net/11400/8472
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=197143	el
dc.subject	Matrix algebra
dc.subject	Data processing
dc.subject	Spectral analysis
dc.subject	Correlation theory
dc.subject	Θεωρία αντιστοιχίας
dc.subject	Matrix άλγεβρα
dc.subject	Επεξεργασία δεδομένων
dc.subject	Φασματική ανάλυση
dc.title	Spectrum analysis using a new autocorrelation measure	en
heal.type	conferenceItem
heal.classification	Computer science
heal.classification	Acoustics
heal.classification	Πληροφορική
heal.classification	Ακουστική
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh2002006100
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Ακουστική
heal.keywordURI	http://skos.um.es/unescothes/C00965
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2001008907
heal.identifier.secondary	ISSN : 1520-6149
heal.identifier.secondary	INSPEC Accession Number: 3257335
heal.identifier.secondary	DOI: 10.1109/ICASSP.1988.197143
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Βιβλιοθηκονομίας και Συστημάτων Πληροφόρησης	el
heal.publicationDate	1988-04
heal.bibliographicCitation	Dendrinos, Μ.Ν. and Carayannis, G. (1988). Spectrum analysis using a new autocorrelation measure. International Conference on Acoustics Speech and Signal Processing, ICASSP'88, IEEE, paper E6.7, pp. 2468-2471, New York, April 1988. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=197143	en
heal.abstract	An autocorrelation measure of a single-frame which is not derived directly from the data is defined. A lattice method is first used to compute the frame-reflection coefficients. Then the predictor coefficients are computed, and the normal equations result in a new set of autocorrelation lags named the lattice autocorrelation measure (LAM). LAM is shown to be more accurate than the conventional Bartlett autocorrelation measure, especially in case of few samples and low SNR. The application of LAM in eigenvalues spectral analysis gives better estimates than conventional autocorrelation, mainly in the central frequency range. The use of the LAM in overdetermined autocorrelation matrices analyzed by singular value decomposition leads to an improvement in the frequency estimation of very close harmonics in the cases of short signal frames	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	Acoustics, Speech, and Signal Processing. ICASSP-88	en
heal.conferenceItemType	short paper