Abstract
Detection of a particular event with a known pattern in a noisy signal is the subject considered here. The authors' purpose is to compare three events detection methods based on matched filtering, decomposition in a set of orthonormal functions and wavelets analysis. The application which is considered here concerns K-complex detection in sleep EEG signals.
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