National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
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.
Adaptive Filters for Processing of Biological Signals
Strouhal, Martin ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
This thesis is engaged in adaptive filtering. There are described common structure of adaptive systems and possible aplications. Most usual adaptive algoritms LMS and RLS are analysed. This project aims to realization of simple adaptive system and narrow bandstop. I researched qualities of the filters and the optimal setting. At the end both systems were tested using noisy ECG signal with varriable frequency of noise
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.
Adaptive Filters for Processing of Biological Signals
Strouhal, Martin ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
This thesis is engaged in adaptive filtering. There are described common structure of adaptive systems and possible aplications. Most usual adaptive algoritms LMS and RLS are analysed. This project aims to realization of simple adaptive system and narrow bandstop. I researched qualities of the filters and the optimal setting. At the end both systems were tested using noisy ECG signal with varriable frequency of noise

Interested in being notified about new results for this query?
Subscribe to the RSS feed.