Referenced Items are not available for this document.
A number of properties of separable covariance matrices are summarized. Expressions for the divergence of the corresponding two-dimensional Gaussian random processes are given in terms of row and column covariance matrices, and in terms of linear prediction parameters and maximum likelihood spectral estimates. Such time and frequency domain expressions are not widely known, even for one-dimensional random processes.
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:PAMI-6
,
Issue:
5
)
Date of Publication: Sept. 1984
- Page(s):
- 652 - 656
- ISSN :
- 0162-8828
- Digital Object Identifier :
- 10.1109/TPAMI.1984.4767580
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 27 January 2009
- Issue Date :
- Sept. 1984
- Sponsored by :
- IEEE Computer Society
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