DocumentCode :
3350940
Title :
Subspace Sequence Estimation
Author :
Tinston, Michael ; Ephraim, Yariv
Author_Institution :
George Mason Univ., Fairfax
fYear :
2007
fDate :
14-16 March 2007
Firstpage :
57
Lastpage :
62
Abstract :
Recent work in the theory of subspace filtering and estimation, for example the Multistage Wiener Filter (MWF) of Goldstein et. al., has focused primarily on the case of finite dimension filtering. While this is the more practical case, as it can be implemented in a general purpose computer, it has left open the theoretical question of the behavior of subspace filters in the infinite dimension case. In this work we begin develop a causal infinite dimensional filter that operates in a subspace similar to that of the MWF and whose performance approaches that of the causal Wiener Filter using this subspace.
Keywords :
Wiener filters; estimation theory; sequences; infinite dimension filter; multistage Wiener filter; subspace filtering; subspace sequence estimation; Equations; Filtering theory; Least squares approximation; Mean square error methods; Nonlinear filters; Random processes; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
1-4244-1063-3
Electronic_ISBN :
1-4244-1037-1
Type :
conf
DOI :
10.1109/CISS.2007.4298273
Filename :
4298273
Link To Document :
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