A pipelined structure for QR adaptive LS system identification

Varvitsiotis, AP; Theodoridis, S

dc.contributor.author	Varvitsiotis, AP	en
dc.contributor.author	Theodoridis, S	en
dc.date.accessioned	2014-03-01T01:08:13Z
dc.date.available	2014-03-01T01:08:13Z
dc.date.issued	1991	en
dc.identifier.issn	1053-587X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10347
dc.subject	Linear Algebra	en
dc.subject	Qr Factorization	en
dc.subject	System Identification	en
dc.subject	Systolic Array	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Computer Systems, Digital - Pipeline Processing	en
dc.subject.other	Mathematical Techniques - Least Squares Approximations	en
dc.subject.other	Systems Science and Cybernetics - Identification	en
dc.subject.other	Adaptive LS System Identification	en
dc.subject.other	Givens Rotations	en
dc.subject.other	QR Factorization	en
dc.subject.other	Systolic Array	en
dc.subject.other	Signal Processing	en
dc.title	A pipelined structure for QR adaptive LS system identification	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/78.91169	en
heal.identifier.secondary	http://dx.doi.org/10.1109/78.91169	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	A novel systolic array is proposed for LS system identification based on QR factorization via Givens rotations. The back-substitution step is circumvented and the structure is fully pipelineable. Thus the method is appropriate for continuous, sample-by-sample mode, adaptive operation. A modification or the above structure is also suggested which is suitable for a wide range of linear algebraic operations and is solely based on Givens rotations.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Signal Processing	en
dc.identifier.doi	10.1109/78.91169	en
dc.identifier.isi	ISI:A1991FY32500028	en
dc.identifier.volume	39	en
dc.identifier.issue	8	en
dc.identifier.spage	1920	en
dc.identifier.epage	1923	en