Title :
Some results in abstract optimal linear filtering
Author :
Fomin, Vladimir ; Ruzhansky, Michael
Abstract :
The linear optimal filtering problems in infinite dimensional Hilbert spaces and their extensions are discussed. The quality functional is allowed to be a general quadratic functional defined by a possibly degenerate operator. We describe the solution of the stable and causal filtering problems. In the case of causal filtering, we establish the relation with a relaxed causal filtering problem in the extended space. We solve the last problem in continuous and discrete cases and give the necessary and sufficient conditions for the solvability of the original causal problem as well as the conditions for the analogue of Bode-Shannon formula to define an optimal filter
Keywords :
Hilbert spaces; computability; filtering theory; Bode-Shannon method; Hilbert spaces; causal filtering; necessary condition; optimal linear filtering; solvability; sufficient condition; Filtering theory; Hilbert space; Maximum likelihood detection; Nonlinear filters; Sufficient conditions; Transfer functions;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2001.914575