Order determination and optimum harmonic reconstruction of quasi-periodic signals in noise

Malliopoulos, C; Bakamidis, S; Carayannis, G

dc.contributor.author	Malliopoulos, C	en
dc.contributor.author	Bakamidis, S	en
dc.contributor.author	Carayannis, G	en
dc.date.accessioned	2014-03-01T01:15:02Z
dc.date.available	2014-03-01T01:15:02Z
dc.date.issued	1999	en
dc.identifier.issn	0165-1684	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13291
dc.subject	comb filtering	en
dc.subject	fundamental frequency	en
dc.subject	pitch estimation	en
dc.subject	quasi-periodic signals	en
dc.subject	signal order	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Harmonic analysis	en
dc.subject.other	Mathematical models	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Spurious signal noise	en
dc.subject.other	Linear periodic (LP) spectra	en
dc.subject.other	Wideband quasi-periodic signals	en
dc.subject.other	Signal reconstruction	en
dc.title	Order determination and optimum harmonic reconstruction of quasi-periodic signals in noise	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0165-1684(99)00090-0	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0165-1684(99)00090-0	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	This article proposes a new method for determining the order of wide-band quasi-periodic signals from frequency estimates provided either by their short-time Fourier or linear prediction (LP) spectra. The method consists in the search for harmonic patterns in the signal spectrum that minimize an error sum of the estimated frequencies. This error can be thought of as an extension to the greatest common divisor of a set of spectral lines and operationally resembles to a spectral comb with teeth aperture and width varying as a function of frequency and comb order. The method performs well in noisy environments and when LP spectra are used the method is insensitive to LP model order selection. After the best harmonic structure has been estimated the original signal can be reconstructed with a minimum number of parameters. (C) 1999 Elsevier Science B.V. All rights reserved.	en
heal.publisher	Elsevier Science Publishers B.V., Amsterdam, Netherlands	en
heal.journalName	Signal Processing	en
dc.identifier.doi	10.1016/S0165-1684(99)00090-0	en
dc.identifier.isi	ISI:000083796400003	en
dc.identifier.volume	79	en
dc.identifier.issue	2	en
dc.identifier.spage	161	en
dc.identifier.epage	173	en