Advanced modeling and signal processing methods in brain–computer interfaces based on a vector of cyclic rhythmically connected random processes

S Lupenko, R Butsiy, N Shakhovska - Sensors, 2023 - mdpi.com
In this study is substantiated the new mathematical model of vector of
electroencephalographic signals, registered under the conditions of multiple repetitions of …

[HTML][HTML] The rhythm-adaptive Fourier series decompositions of cyclic numerical functions and one-dimensional probabilistic characteristics of cyclic random processes

S Lupenko - Digital Signal Processing, 2023 - Elsevier
The paper presents rhythm adaptive Fourier series decompositions of cyclic numerical
functions and one-dimensional probabilistic characteristics of cyclic random processes …

Rhythm-adaptive statistical estimation methods of probabilistic characteristics of cyclic random processes

S Lupenko - Digital Signal Processing, 2024 - Elsevier
The paper is devoted to the rhythm-adaptive statistical estimation methods of cyclic random
processes probabilistic characteristics. The main goal of the article is development and …

[PDF][PDF] Methods of Processing Cyclic Signals in Automated Cardiodiagnostic Complexes.

IV Lytvynenko, A Horkunenko, O Kuchvara, Y Palaniza - ICTES, 2019 - ceur-ws.org
The paper proposes the automated processing of an electrocardiogram based on the use of
its mathematical model in the form of a cyclic random process. On the basis of the offered …

[PDF][PDF] nCode GlyphWorks Software Use for Test Data Processing.

M Stashkiv, O Matsiuk - ITTAP, 2021 - ceur-ws.org
Some technique and results of experimental data processing on the stress-and-strain state
study of wide-spray field sprayer boom parts have been described in the paper under …

A new method for modeling the cyclic structure of the surface microrelief of titanium alloy Ti6Al4V after processing with femtosecond pulses

V Hutsaylyuk, I Lytvynenko, P Maruschak, V Dzyura… - Materials, 2020 - mdpi.com
A method of computer modeling of a surface relief is proposed, and its efficiency and high
accuracy are proven. The method is based on the mathematical model of surface microrelief …

Mathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valves

E Yavorska, M Khvostivskyi, R Kinash… - … Theoretical and Applied …, 2024 - elartu.tntu.edu.ua
Mathematical support for phonocardiographic signal processing has been developed based
on a mathematical model in the form of a periodically correlated stochastic process and a …

Mathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valves

M Khvostivskyi, E Yavorska, R Kinash, R Boyko - 2024 - elartu.tntu.edu.ua
Mathematical support for phonocardiographic signal processing has been developed based
on a mathematical model in the form of a periodically correlated stochastic process and a …

A Markov Chain Based Method for Driving Cycle Segment Prediction of HEVs

F Qin, J Lin, Y Zhao, B Ren, W Ding… - 2024 4th Power System …, 2024 - ieeexplore.ieee.org
Because the limited energy, how to enhance the power utilization efficiency of hybrid electric
vehicles has always been a key technology. Accurately predicting the driving cycles of …

Методи ідентифікації сегментної та ритмічної структур циклічних сигналів в системах цифрової обробки даних

ЯВ Литвиненко, ЯВ Литвиненко - 2019 - elartu.tntu.edu.ua
У вступі обгрунтовано актуальність теми дисертаційної роботи, сформульовано мету і
завдання дослідження, визначено об'єкт, предмет, методи дослідження, визначено …