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On markov models of random fields

On markov models of random fields In this paper, we consider different types of Markov models for random fields, namely, causal-type (nonsymmetrical half-plane) models, causal-type (quadrant) models, semicausal-type (half-plane) models and noncausal-type models. Theorems are proved to give the spectral characterization of these types of Markov models. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

On markov models of random fields

Acta Mathematicae Applicatae Sinica , Volume 3 (4) – Jul 13, 2005

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Publisher
Springer Journals
Copyright
Copyright © 1987 by Science Press, Beijing, China and Allerton Press, Inc. New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02008371
Publisher site
See Article on Publisher Site

Abstract

In this paper, we consider different types of Markov models for random fields, namely, causal-type (nonsymmetrical half-plane) models, causal-type (quadrant) models, semicausal-type (half-plane) models and noncausal-type models. Theorems are proved to give the spectral characterization of these types of Markov models.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jul 13, 2005

References