DOI: 10.17587/prin.12.329-335
Increasing Frequency Resolution in EEG Studies based on Covariation Analysis
Ya. A. Turovsky, Yaroslav_turovsk@mail.ru, V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997, Russian Federation; Voronezh State University, Voronezh, 394018, Russian Federation, S. V. Borzunov, sborzunov@gmail.com, Associate Professor, A. A. Vahtin, alvahtin@gmail.com, Associate Professor, Voronezh State University, Voronezh, 394018, Russian Federation
Corresponding author: Turovsky Yaroslav A., Principal Researcher, V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences Moscow, 117997, Russian Federation, Head of Lab., Voronezh State University, Voronezh, 394018, Russian Federation, E-mail: Yaroslav_turovsk@mail.ru
Received on May 10, 2021
Accepted on June 07, 2021
The paper discusses the application of the method of co-variance analysis of noisy signals using the example of an electroencephalogram to increase the frequency resolution in relation to the phenomena of electrical activity of the brain. The method is focused primarily on signals presented in digital form. The possibility of increasing the frequency resolution in comparison with the method of Fourier transform and wavelet transform is shown.
Keywords: correlation, covariation analysis, electroencephalogram, Fourier transform, wavelet transform, Morlet wavelet, model signal, power spectrum
pp. 329–335
For citation:
Turovsky Ya. A., Borzunov S. V., Vahtin A. A. Increasing Frequency Resolution in EEG Studies based on Covariation Analysis, Programmnaya Ingeneria, 2021, vol. 12, no. 6, pp. 329—335.
