Title :
Methods for identification of random process characteristics in information processing systems
Author :
Prokhorenkov, A.M.
Author_Institution :
Murmansk State Tech. Univ., Russia
fDate :
6/1/2002 12:00:00 AM
Abstract :
The solution for the problem of process class (stationary or nonstationary process) and kind of nonstationarity identification is considered. An analysis is performed for determination of current estimates of mathematical expectation for processes that are nonstationary according to mathematical expectation and dispersion
Keywords :
control systems; identification; random processes; automated control systems; deterministic components; information processing systems; nonstationarity identification; nonstationary process mathematical expectation; random process characteristics identification; randomness criteria; stationary components; Additives; Automatic control; Control systems; Filtration; Helium; Information processing; Noise level; Performance analysis; Process control; Random processes;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2002.1017720
