NDLI: Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions

Content Provider	IEEE Xplore Digital Library
Author	Carravetta, F.
Copyright Year	2006
Description	Author affiliation: Ist. di Analisi dei Sistemi ed Informatica, Consiglio Nazionale delle Ricerche, Rome (Carravetta, F.)
Abstract	The aim of this paper is to propose a nonlinear approach in modeling and estimation for non-Gaussian discrete-index reciprocal processes. The sub-class of the finite-states processes is taken under consideration. Such a class of processes seems to be a suitable setup in many applications, and in particular it appears well suited for image-processing. For this class of processes a stochastic realization is shown to exist in the form of a fixed-degree polynomial model. In this perspective the present paper extends to a non-Gaussian case some, well known in the literature, representation results about Gaussian reciprocal processes
Starting Page	955
Ending Page	960
File Size	179388
Page Count	6
File Format	PDF
ISBN	1424401712
DOI	10.1109/CDC.2006.377715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boundary conditions Polynomials Image processing Stochastic processes Image analysis Image texture analysis Image recognition Pixel USA Councils Markov random fields
Content Type	Text
Resource Type	Article

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Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions