Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Wiener Wavelet Filtering of ECG Signals
Sizov, Vasily ; Vítek, Martin (oponent) ; Kozumplík, Jiří (vedoucí práce)
This paper discusses the possibility of using wavelet transform applications dealing with noise suppression, especially in the area of filtering ECG signals. It is primarily to evaluate the influence of various parameters setting itself filtration, as is the way thresholding wavelet coefficients, setting thresholds and selection decomposition, and reconstruction filter banks. Also there are the results of Wiener filtering, where the combination of banks used decomposition and reconstruction filters were tested. All filtration methods described here are tested on real ECG records with additive interference myopotencial noise and implemented in the Matlab enviroment.
Wiener Wavelet Filtering of ECG Signals
Sizov, Vasily ; Vítek, Martin (oponent) ; Kozumplík, Jiří (vedoucí práce)
This paper discusses the possibility of using wavelet transform applications dealing with noise suppression, especially in the area of filtering ECG signals. It is primarily to evaluate the influence of various parameters setting itself filtration, as is the way thresholding wavelet coefficients, setting thresholds and selection decomposition, and reconstruction filter banks. Also there are the results of Wiener filtering, where the combination of banks used decomposition and reconstruction filters were tested. All filtration methods described here are tested on real ECG records with additive interference myopotencial noise and implemented in the Matlab enviroment.

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