UDC 519.216
1 Institute of Control Systems, National Academy of Sciences
of Azerbaijan, Baku, Azerbaijan, and Azerbaijan University of Architecture and Construction, Baku, Azerbaijan
 telmancyber@gmail.com
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3 Azerbaijan University of Architecture and Construction, Baku, Azerbaijan
nikanel1@gmail.com
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ALGORITHMS FOR GENERATING THE EQUIVALENT NORMALIZED
CORRELATION MATRICES OF NOISY RANDOM SIGNALS
Abstract. It is shown that in control objects, signals 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 engineering objects are analyzed.
Algorithms are proposed for determining equivalent samples of the noise and the useful signal 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 in this case, the procedure of the formation of normalized correlation matrices is substantially simplified and the error
of their elements is significantly reduced.
Keywords: signal, noise, noisy signal, normalized correlation matrices, object, diagnostics.
FULL TEXT
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