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Presented paper describes a system of biomedical signal classifiers with preliminary feature extraction stage based on matched wavelets analysis, where two structures of classifier using Neural Networks (NN) and Support Vector Machine (SVM) are applied. As a pilot study the rules extraction algorithm applied for two of mentioned machine learning approaches (NN & SVM) was used. This was made to...
Single trial electroencephalogram (EEG) classification is essential in developing brain-computer interfaces (BCIs). However, popular classification algorithms, e.g., common spatial patterns (CSP), usually highly depend on the prior neurophysiologic knowledge for noise removing, although this knowledge is not always known in practical applications. In this paper, a novel tensor-based scheme is proposed...
This paper investigates how to classify the type of the aircraft based on the aviation communication signal. Hilbert-Huang Transform (HHT) is introduced to adaptively decompose the cockpit voice into several IMFs, then the IMFs can be used as the features of the aircraft for identifying the type. To alleviate the problem of mode mixing caused by the signal intermittency in EMD, a novel method EEMD...
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