Математическая модель шума в измерительных каналах интеллектуальных систем
| Autor: | D. V. Topolsky, I. G. Topolskaya, E. V. Solomin, G. I. Volovich |
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| Rok vydání: | 2014 |
| Předmět: |
intelligent systems
noise математическая модель quantization frequency интеллектуальные системы business.industry Computer science МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ШУМ ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ ЧАСТОТА ДИСКРЕТИЗАЦИИ Intelligent decision support system шум УДК 51-74 Computational Mathematics Noise Computational Theory and Mathematics частота дискретизации ГРНТИ 27.35 Modeling and Simulation 004.8 [УДК 517.958] Russian federation Telecommunications business mathematical model Software |
| Zdroj: | Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software". 7:120-125 |
| ISSN: | 2071-0216 |
| DOI: | 10.14529/mmp140410 |
| Popis: | We propose a mathematical model describing quantization frequency selection in the measuring channels of intelligent systems depending on the parameters of noise.We consider internal and external sources of noise, seek the reasons for noise generation, justify the necessity of recording noise in the analog lines of measuring channels of intelligent systems. The parameters of our mathematical model of noise are: stationary white noise with normal distribution, an anti-aliasing bandwidth lter, the variance of noise at the input of an analog-digital converter, the correlation coe cient of noise. We evaluate the dependence of the selection of quantization frequency value on the parameters of noise. We show that if the right sampling frequency is selected in the conditions of broadband noise measuring then the systematic component of error is determined by the bandwidth of the low frequency analog anti-aliasing flter, while the random error is determined by the bandwidth of the low frequency digital averaging flter. G.I. Volovich, South Ural State University, Chelyabinsk, Russian Federation, g volovich@mail.ru, E.V. Solomin, South Ural State University, Chelyabinsk, Russian Federation, nii uralmet@mail.ru, I.G. Topolskaya, South Ural State University, Chelyabinsk, Russian Federation, irina topol71@mail.ru, D.V. Topolsky , South Ural State University, Chelyabinsk, Russian Federation, topol69@mail.ru |
| Databáze: | OpenAIRE |
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