脑神经网络信号的离散余弦分类。所谓分类就是一种模式识别。按照某个特定标准(如距离准则)把一个数据集分割成不同的类或簇，分类后同一类的数据尽可能聚集到一起，不同数据尽量分离。而离散余弦变换是一种用来数据压缩的正交变换。所谓数据的压缩实际上就是通过丢失能量较小高频分量，保留能量较高的低频分量，从而达到压缩的目的。-Brain network signal discrete cosine classification. The so-called classification is a kind of pattern recognition. A data set in accordance with a specific standard (such as distance criterion) is divided into different classes or clusters, the same type of data classification as much as possible to come together, the different data as possible separation. The discrete cosine transform is orthogonal transform to data compression. The so-called data compression is actually through the loss of energy of the smaller high-frequency component to retain the low frequency components of higher energy to achieve the purpose of compression.