A very robust, fast, parallelizable adaptive least squares algorithm with excellent tracking abilities

Papaodysseus, C; Gorgoyannis, D; Koukoutsis, E; Roussopoulos, P

dc.contributor.author	Papaodysseus, C	en
dc.contributor.author	Gorgoyannis, D	en
dc.contributor.author	Koukoutsis, E	en
dc.contributor.author	Roussopoulos, P	en
dc.date.accessioned	2014-03-01T02:48:13Z
dc.date.available	2014-03-01T02:48:13Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33638
dc.subject	Adaptive Filter	en
dc.subject	Least Square	en
dc.subject	Recursive Least Square	en
dc.title	A very robust, fast, parallelizable adaptive least squares algorithm with excellent tracking abilities	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1994.390009	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1994.390009	en
heal.publicationDate	1994	en
heal.abstract	In this paper a new computational scheme is introduced for performing recursive least squares adaptive filtering. The proposed algorithm is far more robust than all the already existing RLS schemes, in the sense that it is drastically less sensitive in the numerical error due to the finite precision with which all operations are executed. Hence, it has a lifetime tens	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1994.390009	en