DocumentCode :
3349923
Title :
Energy Theory of Stochastic Signals, Separation of Classes
Author :
Dragan, Yaroslav ; Yavors´ky, Bohdan ; Sikora, Liubomyr
Author_Institution :
Dept. of Biotechnical & Med. Syst. & Apparatuses, Ternopil´´ State Tech. Univ., Ternopil
fYear :
2007
fDate :
19-24 Feb. 2007
Firstpage :
437
Lastpage :
438
Abstract :
In many branches of the human activity is actual extraction of the information carried by signals. At the yielding of the information the essential role plays the processing of the signal. The developing of the algorithm of signal processing follow the act of specifying - a detailed, itemized descriptions of the signal, named specification of the algorithm. Successful specification can be done when a mathematical model of the signal is used. The model is a mathematical object, reflecting in the compressed, constructive form properties of the phenomena to be studied essential for a solving certain problems. Different problems generate models, then the classification of models is necessary. In this contribution on the base of the energy theory are stated principles of the classification of the stochastic signal. False classes stated in the literature are specified.
Keywords :
feature extraction; random processes; signal classification; stochastic processes; energy theory; human activity; information extraction; random processes; signal classification; signal processing; stochastic signals; Data mining; Functional analysis; Humans; Mathematical model; Pattern classification; Random processes; Signal processing; Signal processing algorithms; Stochastic processes; Terminology; class of the model; random processes; representation process; stochastic signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of
Conference_Location :
Lviv-Polyana
Print_ISBN :
966-533-587-0
Type :
conf
DOI :
10.1109/CADSM.2007.4297610
Filename :
4297610
Link To Document :
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