Fractional sampling rate conversion in the 3rd order cumulant domain and applications

Delopoulos, Anastasios; Rangoussi, Maria; Kalogeras, Demetrios

dc.contributor.author	Delopoulos, Anastasios	en
dc.contributor.author	Rangoussi, Maria	en
dc.contributor.author	Kalogeras, Demetrios	en
dc.date.accessioned	2014-03-01T02:41:28Z
dc.date.available	2014-03-01T02:41:28Z
dc.date.issued	1997	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30472
dc.subject	cumulant	en
dc.subject	Random Process	en
dc.subject	Shift Invariant	en
dc.subject.other	Random processes	en
dc.subject.other	Spurious signal noise	en
dc.subject.other	Statistical methods	en
dc.subject.other	Fractional sampling rate conversion	en
dc.subject.other	Signal filtering and prediction	en
dc.title	Fractional sampling rate conversion in the 3rd order cumulant domain and applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICDSP.1997.628001	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICDSP.1997.628001	en
heal.publicationDate	1997	en
heal.abstract	In a variety of problems a random process is observed at different resolutions while knowledge of the corresponding scale conversion ratio usually contains useful information related to problem-specific quantities. A method is proposed which exploits cumulant domain relations of such signals in order to yield fractional estimates of the unknown conversion ratio. The noise insensitivity and shift invariance property of the cumulants offers advantages to the proposed method over signal domain alternatives. These advantages are discussed in two classes of practical problems involving 1-D and 2-D scale converted signals.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	International Conference on Digital Signal Processing, DSP	en
dc.identifier.doi	10.1109/ICDSP.1997.628001	en
dc.identifier.volume	1	en
dc.identifier.spage	157	en
dc.identifier.epage	160	en