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Information System for Analysis of Random Processes in Nonstationary Objects

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4 Author(s)
A. M. Prokhorenkov ; Murmansk State Technical University, 13, Sportivnaya str., Murmansk, 183010, Russia. Phone/Fax: + 7 815 223-1600, E-mail: ; N. M. Kachala ; I. V. Saburov ; A. S. Sovlukov

Analysis of existent methods for processing of random processes is presented in the paper. New approach for data processing is proposed that foresees availability of procedures for determination of process type and kind and also deterministic constituent type of random process. The approach gives ability to increase accuracy characteristics of measurement and control systems. Received results are analyzed.

Published in:

2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

Date of Conference:

5-7 Sept. 2005