Referenced Items are not available for this document.
A well known result of Burg (1967) and Kunsch (1981) identifies a Gaussian Markov random field with autocovariances specified on a finite part L of the n-dimensional integer lattice, as the random field with maximum entropy among all random fields with same autocovariance values on L. A simple information theoretic proof of a version of the maximum entropy theorem for random fields in n dimensions is presented in the special case that the given autocovariances are compatible with a unilateral autoregressive process
Published in:
Image Processing, IEEE Transactions on
(Volume:3
,
Issue:
6
)
Date of Publication: Nov 1994
- Page(s):
- 865 - 868
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 4833152
- Digital Object Identifier :
- 10.1109/83.336258
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Nov 1994
- Sponsored by :
- IEEE Signal Processing Society
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