Abstract
In solving many problems relating to the recognition of complex signals, in the synthesis of artificial intelligence systems and in experimental data processing, the problem often arises to detect homogeneous regions of a random field. The crux of this problem is as follows. Suppose that a domain of definition J of a random field is divided into k disjoint sets I i , i = 1,..., k of statistical homogeneity in characteristics of this random field. The problem is to reconstruct the boundaries of the sets I i using observations of a random field in the domain J.
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© 1993 Springer Science+Business Media Dordrecht
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Brodsky, B.E., Darkhovsky, B.S. (1993). Disorder Detection of Random Fields. In: Nonparametric Methods in Change-Point Problems. Mathematics and Its Applications, vol 243. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8163-9_5
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DOI: https://doi.org/10.1007/978-94-015-8163-9_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4240-8
Online ISBN: 978-94-015-8163-9
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