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	Noise suppression in ECG signal based on the empirical mode decomposition Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor) This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion. Detailed record
	Signal Decomposition using EMD transform Mžourek, Zdeněk ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor) Aim of this thesis is to introduce empiric mode decomposition as a method for decomposing arbitrarily nonlinear and non-stationary signal into intrinsic mode functions. Using empiric modal decomposition together with Hilbert transform produces instantaneous frequency. We can use this instatenous frequency to create a Hilbert spectrum and use it for analysis in time-frequency domain. In next part we show several drawbacks of this method. We also present several ways how to improve empirical mode decomposition algorithm to obtain better results. An example of decomposition by empiric mode decompositon is made to illustrate how the whole procedure works. Detailed record
	Noise suppression in ECG signal based on the empirical mode decomposition Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor) This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion. Detailed record
	Signal Decomposition using EMD transform Mžourek, Zdeněk ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor) Aim of this thesis is to introduce empiric mode decomposition as a method for decomposing arbitrarily nonlinear and non-stationary signal into intrinsic mode functions. Using empiric modal decomposition together with Hilbert transform produces instantaneous frequency. We can use this instatenous frequency to create a Hilbert spectrum and use it for analysis in time-frequency domain. In next part we show several drawbacks of this method. We also present several ways how to improve empirical mode decomposition algorithm to obtain better results. An example of decomposition by empiric mode decompositon is made to illustrate how the whole procedure works. Detailed record

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