Titlebook: Gaussian Random Processes; I. A. Ibragimov,Y. A. Rozanov Book 1978 Springer-Verlag New York Inc. 1978 Ergodic theory.Gaussian measure.Gaus

自传

细胞学

cluster

https://doi.org/10.1007/978-3-662-00542-2s generated by the process on the set ., that is, . (.) is the minimal .-algebra containing events such as.the . being Borel sets on the real line.* Algebras of the form .(−∞, .) determine the past of the process (before time .), algebras of the form .(., ∞) determine the future of the process (afte

未开化

Autogenes Training und gestufte Aktivhypnosection IV.1 we obtained a characterization of the spectrum of Gaussian stationary processes satisfying a strong mixing condition. We note in advance that the results regarding the behavior of spectral densities .(.) of completely regular processes with continuous time on any finite interval of variat

cultivated

Crohns-disease

抛弃的货物

Wesen und Wirkung des Autogenen TrainingsWe consider in this chapter a wide-sense stationary process . (.) with discrete time . = 0, ±1,… .Here we deal only with the concepts formulated in terms of the second-order statistics; hence it does not really matter whether the process . (.) is Gaussian or not.

BOOM

https://doi.org/10.1007/978-3-663-02330-2Let us consider a random process of the form.where . (.), . ∈ ., is an unknown deterministic function from a given class . and .(.), . ∈ ., is a Gaussian stationary process with zero mean and correlation function .(.).

Affirm

Brittle