2-d interpolation, matrix factorization and applications to signal processing

Diamessis John, E; Therrien Charles, W

dc.contributor.author	Diamessis John, E	en
dc.contributor.author	Therrien Charles, W	en
dc.date.accessioned	2014-03-01T02:47:50Z
dc.date.available	2014-03-01T02:47:50Z
dc.date.issued	1988	en
dc.identifier.issn	02714310	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33381
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0024121764&partnerID=40&md5=664dc815b4e1fb4bc6bfe526649426fe	en
dc.subject.other	Mathematical Techniques--Matrix Algebra	en
dc.subject.other	Signal Processing--Analysis	en
dc.subject.other	2-D Interpolation	en
dc.subject.other	FIR Filters	en
dc.subject.other	Interpolation Matrix	en
dc.subject.other	Matrix Factorization	en
dc.subject.other	Recursive Computability	en
dc.subject.other	Electric Filters, Digital	en
dc.title	2-d interpolation, matrix factorization and applications to signal processing	en
heal.type	conferenceItem	en
heal.publicationDate	1988	en
heal.abstract	A method for solving a class of 2-D interpolation problems is presented. The method is not restricted to uniform interpolation points and has the attractive features of recursive computability and permanence of the solution. By combining two different approaches to the problem, the authors obtained the LU decomposition of the interpolation matrix without having to check the nonsingularity of submatrices. This decomposition gives the computational advantage of reducing the original problem to the solution of two triangular systems. The method can be used for the design of 1-D and 2-D FIR (finite-impulse response) filters.	en
heal.publisher	Publ by IEEE, Piscataway, NJ, United States	en
heal.journalName	Proceedings - IEEE International Symposium on Circuits and Systems	en
dc.identifier.volume	3	en
dc.identifier.spage	2069	en
dc.identifier.epage	2071	en