Detection of random signals in dependent gaussian noise / Antonio F. Gualtierotti

• Autore: Gualtierotti, Antonio F.
• Pubblicazione: [Cham], : Springer, 2015
• Titolo uniforme: Detection of random signals in dependent gaussian noise
• Descrizione fisica: XXXIV, 1176 p. : ill. ; 24 cm
• Soggetto topico: 60G15 - Gaussian processes [MSC 2020]; 60H05 - Stochastic integrals [MSC 2020]; 60-XX - Probability theory and stochastic processes [MSC 2020]; 60H10 - Stochastic ordinary differential equations [MSC 2020]; 46E22 - Hilbert spaces with reproducing kernels (= [proper] functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) [MSC 2020]; 60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]; 60G30 - Continuity and singularity of induced measures [MSC 2020]; 60B11 - Probability theory on linear topological spaces [MSC 2020]; 60G25 - Prediction theory (aspects of stochastic processes) [MSC 2020]; 62M07 - Non-Markovian processes: hypothesis testing [MSC 2020]; 94A13 - Detection theory in information and communication theory [MSC 2020]
• Soggetto non controllato: Cramér-Hida representations; Dependent signals with arbitrary laws; Girsanov‘s theory; Goursat processes; Information and communication, circuits; Prediction processes; Reproducing Kernel Hilbert spaces; Signal detection; Uniqueness class of continuous local martingales
• Titolo autorizzato: Detection of random signals in dependent gaussian noise
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0113725
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-3-319-22315-5