A “FAST” EXTREME FILTERING ALGORITHM 

Myasnikova Nina Vladimirovna, Doctor of engineering sciences, professor, sub-department of automation and remote control, Penza State University (40, Krasnaya street, Penza, Russia), E-mail: genok123@mail.ru
Beresten' Mikhail Petrovich, Candidate of engineering sciences, associate professor, sub-department of automation and remote control, Penza State University (40, Krasnaya street, Penza, Russia), E-mail: beresten@sura.ru
Priymak Anton Aleksandrovich, Postgraduate student, Penza State University (40, Krasnaya street, Penza, Russia), E-mail: antton120@yandex.ru

681.31 

10.21685/2072-3059-2020-1-7 

Background. A “fast” extreme filtering algorithm based on the “thinning” of a number of extrema is proposed that does not use decomposition into components with simultaneous smoothing. The possibility of estimating the parameters of time series in a sliding window and highlighting the modes in the analysis area directly by the extrema of the process is shown. The goal is to reduce the analysis time of large data sets and adapt the method to real-time mode.
Materials and methods. The study was conducted in a Matlab environment using experimental data from a seismic detection system.
Results. It is shown that mode parameters can be estimated without decomposition based on the analysis of signal extremes.
Conclusions. The proposed solutions can reduce the analysis time of rapidly variable processes, oriented to the use of real-time systems. 

fast-variable processes, extreme filtering, express spectrum estimation, modes 

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