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Comparison of tests on null correlation between two normal random variables
Kalenský, Vít ; Žák, Libor (referee) ; Hübnerová, Zuzana (advisor)
This thesis deals with the comparison of the tests of the correlation coecient of two normal random variables using T statistics, Fisher's transformation, Hotelling transformation and Haddad-Provost's statistics. It contains the derivation of the tests and their power function, which then compares each other and with the values obtained from the simulated random samples in program MATLAB. Finally the thesis depicts and describe the results. There is also the theoretical introduction to the topic.
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Analysis of EEG signals
Bartošovský, Petr ; Dlouhý, Jiří (referee) ; Rozman, Jiří (advisor)
BARTOŠOVSKÝ, P. Analysis of EEG signals. Brno: Brno university of technology, Faculty of electrical engineering and communication, 2008. 35 p. Supervisor of bachelor’s thesis doc. Ing. Jiří Rozman, CSc. This thesis deals with EEG signal analysis and methods of their digital processing. So-called artifacts can distort data measured during brain activity. These data were basis for comparison of two methods: The Principal Component Analysis and The Independent Component Analysis for Artifact elimination. Both methods were compared and results evaluated.
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Comparison of tests on null correlation between two normal random variables
Kalenský, Vít ; Žák, Libor (referee) ; Hübnerová, Zuzana (advisor)
This thesis deals with the comparison of the tests of the correlation coecient of two normal random variables using T statistics, Fisher's transformation, Hotelling transformation and Haddad-Provost's statistics. It contains the derivation of the tests and their power function, which then compares each other and with the values obtained from the simulated random samples in program MATLAB. Finally the thesis depicts and describe the results. There is also the theoretical introduction to the topic.
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Analysis of EEG signals
Bartošovský, Petr ; Dlouhý, Jiří (referee) ; Rozman, Jiří (advisor)
BARTOŠOVSKÝ, P. Analysis of EEG signals. Brno: Brno university of technology, Faculty of electrical engineering and communication, 2008. 35 p. Supervisor of bachelor’s thesis doc. Ing. Jiří Rozman, CSc. This thesis deals with EEG signal analysis and methods of their digital processing. So-called artifacts can distort data measured during brain activity. These data were basis for comparison of two methods: The Principal Component Analysis and The Independent Component Analysis for Artifact elimination. Both methods were compared and results evaluated.
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