THE USE OF LOW-FREQUENCY SIGNALS REMOVED FROM THE HUMAN CEREBRAL CORTEX TREATED BY THE WAVELET BY THE DOBESHA TRANSFORM
Authors:
1.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Russian Federation
2.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
3.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Russian Federation
4.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
employee
Russian Federation
employee
Russian Federation
Type:
Сonference article
Published:
10.12.2021
Subject area:
UDK 51 Математика
Language:
Russian
Keywords:
wavelet transform, programming, low-frequency signals, intelligent simulator, data processing methods
Abstract (English):
The article presents the results of a study on the possibility of using the Daubechy wavelet transform for processing low-frequency signals taken from the cerebral cortex. The advantages of using the Daubechy wavelet transform for audio signals with natural interference are given.
The article presents the results of a study on the possibility of using the Daubechy wavelet transform for processing low-frequency signals taken from the cerebral cortex. The advantages of using the Daubechy wavelet transform for audio signals with natural interference are given.
Keywords:
wavelet transform, programming, low-frequency signals, intelligent simulator, data processing methods
wavelet transform, programming, low-frequency signals, intelligent simulator, data processing methods
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