Signal processing and modeling of dynamical objects on the basis of their description as discrete information sources

Author

Mul, O. ; Segin, A.I.

Author_Institution

Inst. of Comput. Inf. Technol., Ternopil Acad. of Nat. Econ., Ukraine

fYear

2001

fDate

2001

Firstpage

247

Lastpage

250

Abstract

Modeling of processes in dynamical systems of different physical nature is a relevant problem that can be successfully solved with a help of their description as discrete information sources (DIS) and integration of different sensor signals imaging system characteristics of objects. We made an attempt to combine a body of mathematics for the description of dynamical objects on the basis of differential equation systems with their description with a help of statistical, correlation, entropy, logico-statistical models. It allows the parallelisation of computational procedures and increasing model accuracy

Keywords

information theory; signal processing; correlation methods; differential equation system; discrete information sources; dynamical objects; entropy methods; logico-statistical models; parallelisation; sensor signals; signal processing; statistical methods; system characteristics; Differential equations; Entropy; Frequency; Information technology; Integrated circuit modeling; Mathematical model; Mathematics; Physics computing; Quantization; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.

Conference_Location

Crimea

Print_ISBN

0-7803-7164-X

Type

conf

DOI

10.1109/IDAACS.2001.942023

Filename

942023