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The electrocorticogram(ECoG) is proved to have high signal-to-noise ratio(SNR), which makes it better fitting for BCIs. And this paper represents a kind of classification method of ECoG signals for motor imagery tasks(left finger and tongue). Band power(BP) with the frequency band of [8 30] was extracted as the feature, and the linear discriminant analysis(LDA), k-nearest neighbor(kNN) rules and linear...
In literature there is a huge body of references available which compare various classifiers in a particular application. However, the reliability of such a comparison is only valid if the model parameters, performance criteria and training environment are chosen in a fair framework, as successful application of a classifier is dependent on the those parameters. In this study we attempt to answer...
A preprocessing stage in every speech/music applications including separation, recognition and transcription task is inevitable to determine each frame belongs to which classes, namely: speech only, music only or speech/music mixture. Such classification can significantly decrease the computational burden due to exhaustive search commonly introduced as a problem in model-based speech recognition or...
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