Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Analysis of stationary means of measurement filters with optimum sensitivity

Authors
Andrei Kochetkov, Pavel Melnikov, Oleg Zakharov, Nikolaj Bobrovskij, Igor Bobrovskij, Vadim Kushnikov
Corresponding Author
Andrei Kochetkov
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.84How to use a DOI?
Keywords
electrical signal; stationary filters; sensitivity; frequency characteristics; measuring instruments; optimization
Abstract
When transmitting information and control signals to electrical, electromechanical and mechatronic systems are require reduction to the lowest possible levels of noise interference. For this is substantiated in the general formulation of the one-dimensional problem of determining the sensitivity of a linear stationary optimal Wiener filtration. It is proposed to use the method of local approximation of the spectral densities for the quantitative determination of indicators of sensitivity converting electrical signals from the means of measurement. In relation to the different models produced recommendations on the advisability of accounting the characteristics of the signal deviations from nominal, deviations from the optimal structures and parameters for their implementation and configuration of the filters themselves..
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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
DOI
https://doi.org/10.2991/itsmssm-16.2016.84How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Andrei Kochetkov
AU  - Pavel Melnikov
AU  - Oleg Zakharov
AU  - Nikolaj Bobrovskij
AU  - Igor Bobrovskij
AU  - Vadim Kushnikov
PY  - 2016/05
DA  - 2016/05
TI  - Analysis of stationary means of measurement filters with optimum sensitivity
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
UR  - https://doi.org/10.2991/itsmssm-16.2016.84
DO  - https://doi.org/10.2991/itsmssm-16.2016.84
ID  - Kochetkov2016/05
ER  -