Two Dimensional Recursive Optimal Smoothing of Gaussian Random Fields (Contributo in atti di convegno)

Type
Label
  • Two Dimensional Recursive Optimal Smoothing of Gaussian Random Fields (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICCA.2011.6137896 (literal)
Alternative label
  • Francesco Carravetta, Langford B. White (2011)
    Two Dimensional Recursive Optimal Smoothing of Gaussian Random Fields
    in 2011 9th IEEE International Conference on WedB3.5 Control and Automation (ICCA), Santiago, Chile,, December 19-21, 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Francesco Carravetta, Langford B. White (literal)
Pagina inizio
  • 1102 (literal)
Pagina fine
  • 1107 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 2011 9th IEEE International Conference on WedB3.5 Control and Automation (ICCA) Santiago, Chile, December 19-21, 2011 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Note
  • Scopus (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • F. Carravetta is with the Antonio Ruberti Institute of Sys- tems Analysis and Computer Science of the Italian National Re- search Council, IASI-CNR, Viale Manzoni 30, 00185 Rome, Italy francesco.carravetta@iasi.cnr.it L-B. White is whith the School of Electical and Electronic Engineering, The University of Adelaide, North Terrace, Adelaide, 5005, Australia. Lang.White@adelaide.edu.au (literal)
Titolo
  • Two Dimensional Recursive Optimal Smoothing of Gaussian Random Fields (literal)
Abstract
  • The smoothing problem is considered for a two dimensional (2D) Gaussian Markov field defined on a finite rectangular lattice under Gaussian additive noise. The Gaussian Markov field is assumed to be generated by a (known) local correlation linking each site with the eight sites surrounding it in the lattice. In a former paper it has been shown that for such field (and with a further assumption of homogeneity that we here relax) a 2D realisation can be built up. Such realisation result represents the basis for the present paper, where a 2D- recursive optimal-smoothing algorithm is derived. Even though based on the realisation result, the present paper is nevertheless self-contained. (literal)
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