Sentence examples for signal classifications from inspiring English sources

This work is related to several multiclass EEG signal classifications techniques in the literature.

Siuly and Li [1] proposed a statistical framework for multiclass EEG signal classifications.

From our experiments, it is evident that the MP algorithm with the Gabor dictionary decomposes nonstationary signals, such as music signals, into atoms in which the parameters contain strong discriminant information sufficient for accurate and efficient signal classifications.

A number of methods have been developed for general signal classifications based on the statistical theory in the past decades, such as decision trees, statistical techniques, support vector machine (SVM), and neural networks (NN).

Multiple Signal Classification.

Step 2: LFM signal classification.

Fig. 4 General process of EEG signal classification.

And then the output detected signal is considered as a signal classification attribute.

The approach is based on the high-resolution technique known as multiple signal classification (MUSIC).

In [22], it uses signal classification algorithms to distinguish primary signal and secondary signal.

One of the aspects of signal classification is the selection of proper classification features.