Title :
Mixing property and ergodicity of linear random processes
Author_Institution :
IEEE, Ternopil State Ivan Puluj Tech. Univ., Ternopil, Ukraine
Abstract :
Using a characteristic function method the mixing property and ergodicity of strictly stationary continuous-time linear random process driven by process with independent increments have been proven.
Keywords :
random processes; signal processing; statistical analysis; stochastic processes; characteristic function method; ergodicity; mixing property; random signal statistical analysis; stationary continuous-time linear random process; Biomedical engineering; Computer simulation; Conferences; Data acquisition; Mathematical model; Power engineering and energy; Random processes; Signal processing; Stochastic processes; Testing; Characteristic function; Levy process; ergodicity; linear process; mixing;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342967
