Optimal distributed kalman and lainiotis filters: Optimal uniform distribution of measurements into local processors

dc.creator	Assimakis, N.	en
dc.creator	Adam, M.	en
dc.creator	Koziri, M.	en
dc.creator	Voliotis, S.	en
dc.date.accessioned	2015-11-23T10:23:10Z
dc.date.available	2015-11-23T10:23:10Z
dc.date.issued	2009
dc.identifier	10.1109/IWSSIP.2009.5367777
dc.identifier.isbn	9781424445301
dc.identifier.uri	http://hdl.handle.net/11615/25968
dc.description.abstract	A method to implement the optimal distributed Kalman and Lainiotis filters is proposed. The method is based on the a-priori determination of the optimal uniform distribution of the measurements into parallel processors, in the sense of minimizing the computation time. The resulting optimal Kalman and Lainiotis filters present high parallelism speedup. This result is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time. ©2009 IEEE.	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-77949585173&partnerID=40&md5=366e1d718050ab3290f6ef3333de7f82
dc.subject	Distributed algorithms	en
dc.subject	Kalman filter	en
dc.subject	Lainiotis filter	en
dc.subject	Apriori	en
dc.subject	Computation time	en
dc.subject	Distributed algorithm	en
dc.subject	Parallel processor	en
dc.subject	Real-time application	en
dc.subject	Uniform distribution	en
dc.subject	Image processing	en
dc.subject	Imaging systems	en
dc.subject	Kalman filters	en
dc.subject	Optimization	en
dc.title	Optimal distributed kalman and lainiotis filters: Optimal uniform distribution of measurements into local processors	en
dc.type	conferenceItem	en

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