02174nam0 2200409 i 450 SUN011372520180125030424.4860.00N978-3-319-22315-520180118d2015 |0engc50 baengCH|||| |||||*Detection of random signals in dependent gaussian noiseAntonio F. Gualtierotti[Cham] : Springer, 2015XXXIV1176 p.ill. ; 24 cmPubblicazione in formato elettronico60G15Gaussian processes [MSC 2020]MFSUNC02001060H05Stochastic integrals [MSC 2020]MFSUNC02001360-XXProbability theory and stochastic processes [MSC 2020]MFSUNC02042860H10Stochastic ordinary differential equations [MSC 2020]MFSUNC02068246E22Hilbert spaces with reproducing kernels (= [proper] functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) [MSC 2020]MFSUNC02130660G35Signal detection and filtering (aspects of stochastic processes) [MSC 2020]MFSUNC02148560G30Continuity and singularity of induced measures [MSC 2020]MFSUNC02658260B11Probability theory on linear topological spaces [MSC 2020]MFSUNC03145660G25Prediction theory (aspects of stochastic processes) [MSC 2020]MFSUNC03372962M07Non-Markovian processes: hypothesis testing [MSC 2020]MFSUNC03373094A13Detection theory in information and communication theory [MSC 2020]MFSUNC033731CHChamSUNL001889Gualtierotti, Antonio F.SUNV087830755643SpringerSUNV000178650ITSOL20201026RICAhttp://dx.doi.org/10.1007/978-3-319-22315-5SUN0113725UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 08eMF161 20180118 Detection of random signals in dependent gaussian noise1522756UNICAMPANIA