Harmonic analysis and restoration of separation methods for periodic signal mixtures: Algebraic separation versus comb filtering 1 1 This work was supported by the U.S. National Science Foundation under Grants MIP93963091 and MIP9421677

Santhanam, B; Maragos, P

dc.contributor.author	Santhanam, B	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:46:43Z
dc.date.available	2014-03-01T01:46:43Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25025
dc.subject	Biomedical Signal Processing	en
dc.subject	Frequency Domain	en
dc.subject	Harmonic Analysis	en
dc.subject	Information Loss	en
dc.subject	Matrix Algebra	en
dc.subject	National Science Foundation	en
dc.subject	Time Domain	en
dc.title	Harmonic analysis and restoration of separation methods for periodic signal mixtures: Algebraic separation versus comb filtering 1 1 This work was supported by the U.S. National Science Foundation under Grants MIP93963091 and MIP9421677	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0165-1684(98)00088-7	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0165-1684(98)00088-7	en
heal.publicationDate	1998	en
heal.abstract	The problem of separating a mixture of periodic signals into its constituent components occurs in sound detection, biomedical signal processing, and in communications. Existing approaches to solving it are either based on harmonic selection in the frequency domain or on linear comb filtering in the time-domain. In this paper, the recently proposed matrix algebraic separation approach is analyzed in the	en
heal.journalName	Signal Processing	en
dc.identifier.doi	10.1016/S0165-1684(98)00088-7	en