Time-frequency based detection in impulsive noise environments using alpha-stable noise models (Articolo in rivista)

Type
Label
  • Time-frequency based detection in impulsive noise environments using alpha-stable noise models (Articolo in rivista) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/S0165-1684(02)00319-5 (literal)
Alternative label
  • Coates M.J., Kuruoglu E.E. (2002)
    Time-frequency based detection in impulsive noise environments using alpha-stable noise models
    in Signal processing (Print); Elsevier, Amsterdam (Paesi Bassi)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Coates M.J., Kuruoglu E.E. (literal)
Pagina inizio
  • 1917 (literal)
Pagina fine
  • 1925 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0165168402003195 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 82 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Elsevier, 2002 (Pubblicazione A0-16) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 13 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 12 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Cambridge, UK; ISTI-CNR, Pisa, Italy (literal)
Titolo
  • Time-frequency based detection in impulsive noise environments using alpha-stable noise models (literal)
Abstract
  • We develop near-optimal test statistics for the detection of arbitrary non- stationary second-order random signals in impulsive noise, modelled using a bivariate, isotropic á-stable distribution. The test statistics are derived by approximating the noise model using a mixture of Gaussians, trained using an expectation-maximisation algorithm. We consider the extension to the case when the signal to be detected is subjected to an unknown time–frequency or time-scale shift, and show that approximations to locally optimal test statistics can be implemented using bilinear time– frequency or time-scale representations. We demonstrate that the performance of the locally optimal linear receiver is poor in even mildly impulsive noise; the alternative detection statistics proposed in this paper offer considerably enhanced performance. (literal)
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