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" INFORMATION FUSION AND ARTIFACT DETECTION TO IMPROVE THE PERFORMANCE OF MULTI-CHANNEL BRAIN WAVEFORM CLASSIFIERS "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 148875
Doc. No : ET20667
Main Entry : Hyun Seolt Kook
Title Proper : INFORMATION FUSION AND ARTIFACT DETECTION TO IMPROVE THE PERFORMANCE OF MULTI-CHANNEL BRAIN WAVEFORM CLASSIFIERS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The information fusion strategies developed include vector decision fusion. vectordata fusion, dynamic decision fusion. and dynamic data fusion. In the vector fusionmethods. a ranking strategy is developed to rank and select channels. If the decisions arefused, the resulting decision fusion vector is classified using a Bayes discrete vectorclassifier. If the.
Subject : Electericl tess
: برق
electronic file name : TL43807.pdf
Title and statement of responsibility and : INFORMATION FUSION AND ARTIFACT DETECTION TO IMPROVE THE PERFORMANCE OF MULTI-CHANNEL BRAIN WAVEFORM CLASSIFIERS [Thesis]
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TL43807.pdf
TL43807.pdf
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