On optimum distributed-parameter filter design for correlated measurement noise

Tzafestas, S

dc.contributor.author	Tzafestas, S	en
dc.date.accessioned	2014-03-01T02:47:32Z
dc.date.available	2014-03-01T02:47:32Z
dc.date.issued	1970	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33203
dc.subject	Conditional Distribution	en
dc.subject	Covariance Matrices	en
dc.subject	Covariance Matrix	en
dc.subject	Distributed Parameter System	en
dc.subject	Filter Design	en
dc.subject	Measurement Noise	en
dc.subject	Random Variable	en
dc.title	On optimum distributed-parameter filter design for correlated measurement noise	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SAP.1970.269951	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SAP.1970.269951	en
heal.publicationDate	1970	en
heal.abstract	The problem of designing an optimum filter for a general class of linear distributed-parameter systems with correlated in time and space measurement noise is studied. The input stochastic disturbance is assumed to be white in time, but it is allowed to have any correlation in space. The filter is designed by making use of a learning theorem which gives the	en
heal.journalName	Conference on Decision and Control	en
dc.identifier.doi	10.1109/SAP.1970.269951	en