Title :
Local statistical models from deterministic state space models, likelihood filtering, and local typicality
Author :
Bruderer, Lukas ; Loeliger, Hans-Andrea ; Zalmai, Nour
Author_Institution :
Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
fDate :
June 29 2014-July 4 2014
Abstract :
Surprisingly many signal processing problems can be approached by locally fitting autonomous deterministic linear state space models to the data. In this paper, we introduce local statistical models for such cases and discuss the computation both of the corresponding estimates and of local likelihoods for different models.
Keywords :
filtering theory; statistical analysis; autonomous deterministic linear state space models; deterministic state space model; likelihood filtering; local likelihood estimation; local statistical model; local typicality; locally fitting; signal processing problem; Magnetomechanical effects; Vectors;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6875004