Алгоритмы формирования эквивалентных нормированных корреляционных матриц зашумленных случайных сигналов / Алиев Т. А., Мусаева Н. Ф., Рзаева Н. Э. (2021)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2021, 57 (4))

Aliev T.A., Musaeva N.F., Rzayeva N.E.
Algorithms for generating the equivalent normalized correlation matrices of noisy random signals

It is shown that signals in control objects are usually various physical quantities such as temperature, pressure, vibration, etc. Therefore, when solving problems of control, diagnostics and identification, it becomes necessary to generate normalized correlation matrices. The difficulties of generating normalized correlation matrices of noisy input-output signals of technical objects are analyzed. Algorithms for determining equivalent readings of the noise and useful signal are proposed and the possibility of their use for generating normalized correlation matrices equivalent to the correlation matrices of useful signals of noisy random processes is shown. It is shown that the procedure of the generating normalized correlation matrices is substantially simplified in this case and the error of their elements significantly decreases. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: diagnostics, noise, noisy signal, normalized correlation matrices, object, signal, Computer science, Cybernetics, Correlation matrix, In-control, Input-output, Normalized correlation, Physical quantities, Random signal, Technical objects, Random processes


Cite:
Aliev T.A., Musaeva N.F., Rzayeva N.E. (2021). Algorithms for generating the equivalent normalized correlation matrices of noisy random signals. Cybernetics and Systems Analysis, 57 (4), 177–192. doi: https://doi.org/10.1007/s10559-021-00391-5 http://jnas.nbuv.gov.ua/article/UJRN-0001254222 [In Russian].


 

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