Open AccessMATHEMATICAL BASIS FOR ANALYSING SIGNALS REMOVED FROM FROM THE HUMAN CEREBRAL CORTEX USING DOBESHI AND HAAR METHODS
Author(s) -
A. Yagodkin,
V. Tuinov,
V. Lavlinskiy,
Yu. Tabakov
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.34220/mamsp_296-301
Subject(s) - haar , haar wavelet , computer science , matlab , basis (linear algebra) , wavelet transform , signal (programming language) , speech recognition , signal processing , wavelet , interference (communication) , artificial intelligence , discrete wavelet transform , mathematics , telecommunications , programming language , channel (broadcasting) , geometry , radar
The article presents the results of the study of signals taken from the human cerebral cortex, and presents the mathematical foundations of analysis using the methods of Daubechy and Haar. A comparative analysis of the method of the Daubechy and Haar wavelet transform implemented in MATLAB and developed using the C++ programming language in the course of the study on the example of a recorded audio signal with natural interference is given.