Другие журналы
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Skrugin
Adaptive classificator of multidimensional non stationary signals based on dynamical patterns analysis
Engineering Education # 08, August 2010 The problem of multidimensional non-stationary signal classification is considered. The method of signal feature vector construction based on analysis of dynamical patterns is described. The neural network approach is proposed to use for classification in feature space. The results of experimental researches of developed algorithms for applied problem of electroencephalograms recognition are described.
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