http://www.cnr.it/ontology/cnr/individuo/prodotto/ID75411
Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions (Contributo in atti di convegno)
- Type
- Label
- Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions (Contributo in atti di convegno) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/CDC.2006.377715 (literal)
- Alternative label
Carravetta, F. (2006)
Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions
in 45th IEEE Conference on Decision and Control, San Diego, CA, USA, DEC 13-15, 2006
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Pages: 955-960
Editor: Omnipress (literal)
- Titolo
- Representation of Non-Gaussian, Finite-States, Reciprocal Processes: the 1-D Problem with Cyclic Boundary Conditions (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4244-0170-3 (literal)
- 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 perpective the present paper extends to a non-Gaussian case some, well known in the literature, representation results about Gaussian reciprocal processes. (literal)
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