Smoothing data with correlated noise via Fourier transform (Articolo in rivista)

Type
Label
  • Smoothing data with correlated noise via Fourier transform (Articolo in rivista) (literal)
Anno
  • 2000-01-01T00:00:00+01:00 (literal)
Alternative label
  • Amato, U. and De Feis, I. (2000)
    Smoothing data with correlated noise via Fourier transform
    in Mathematics and computers in simulation (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Amato, U. and De Feis, I. (literal)
Pagina inizio
  • 175 (literal)
Pagina fine
  • 196 (literal)
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  • cited By (since 1996)1 (literal)
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  • http://www.scopus.com/inward/record.url?eid=2-s2.0-0346707583&partnerID=40&md5=196f97257952f4274b04b81f2687ba28 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 52 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3-4 (literal)
Note
  • Scopu (literal)
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  • Inst. per Applicazioni della M., Via Pietro Castellino 111, 80131 Napoli, Italy (literal)
Titolo
  • Smoothing data with correlated noise via Fourier transform (literal)
Abstract
  • The problem of smoothing data trough a transform in the Fourier domain is analyzed in the case of correlated noise affecting data. A regularization method and two GCV-type criteria are resorted in order to solve the problem, in analogy with the case of uncorrelated noise. All convergence theorems stated for uncorrelated noise are here generalized to the case of correlated noise. Numerical experiments on significant test functions are shown. © 2000 IMACS/Elsevier Science B.V. All rights reserved. (literal)
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