Thesis Details
Time Frequency Analysis of ERP Signals
The aim of this work is to improve the algorithm for clustering ERP signals based on the temporal and spatial properties of pseudo-signals gained by the Independent Component Analysis. The main purpose is to find new features, which could improve the original algorithm. This study is investigating application of new features gained by Fourier Transform and short time Fourier Transform methods. Basic principle and performance of the concept is demonstrated on the sample algorithm. Results have shown that the method can bring a contribution to the original project and can be its convenient improvement.
time frequency analysis, independent component analysis, signal processing, Fourier transform, Short time Fourier transform, electroencephalogram, EEG, ERP, EP, FFT, STFT, ICA
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), člen
Krejčíček Jaromír, prof. Ing., CSc. (UNOB), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Sumec Stanislav, Ing., Ph.D. (DCGM FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT6121,
author = "Jan Bart\r{u}\v{s}ek",
type = "Master's thesis",
title = "Time Frequency Analysis of ERP Signals",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2007,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/6121/"
}