DocumentCode
284876
Title
Parameter estimation in 2D fields
Author
Balram, Nikhil ; Moura, José M G
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
3
fYear
1992
fDate
23-26 Mar 1992
Firstpage
345
Abstract
The problem of estimating the parameters of noncausal finite lattice Gauss Markov random fields is addressed. It is shown how the structure of the potential matrix (the inverse of the field covariance matrix) can be used to specify the valid parameter space and formulate a computationally practical maximum likelihood estimation procedure. A modification that enables this to generate accurate parameter estimates from noisy data is provided
Keywords
Markov processes; maximum likelihood estimation; parameter estimation; 2D fields; Gauss Markov random fields; MLE; maximum likelihood estimation; noisy data; noncausal finite lattice fields; parameter estimation; potential matrix; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian processes; Image coding; Lattices; Markov random fields; Maximum likelihood estimation; Noise generators; Parameter estimation; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226230
Filename
226230
Link To Document