Digital Processing of Noisy Signals of Radio Engineering Systems with the Selection of Linear and Harmonic Components

The work is devoted to the analysis of digital methods for extracting linear and periodic components in highly noisy signals of radio engineering systems. When analyzing random data, situations often arise when it is necessary to find out whether observations or estimates of signal parameters are st...

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Bibliographic Details
Published in2020 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 6
Main Authors Vasilkov, Yu. V., Sovetov, V. A., Perlov, A. Yu, Borodin, V. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2020
Subjects
Approximation algorithms
digital filtering
Filtering
Harmonic analysis
linear components
Noise measurement
periodic components
random processes
Reliability
smoothing
spectral analysis
Time series analysis
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DOI10.1109/IEEECONF48371.2020.9078551

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Summary:The work is devoted to the analysis of digital methods for extracting linear and periodic components in highly noisy signals of radio engineering systems. When analyzing random data, situations often arise when it is necessary to find out whether observations or estimates of signal parameters are statistically independent or whether they are subject to a trend - a monotonic or periodic change in the properties of systems or processes. This problem acquires special significance in the analysis of non-stationary data, in which it is necessary to reliably identify the presence of a trend or identify their parameters against the background of random changes (in single measurements).
DOI:10.1109/IEEECONF48371.2020.9078551