这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
主分量分析技术通常用于数据压缩和统计特征的提取。
Principal component analysis (PCA) is used in data compressing and statistical features extracting.
用分段的时域数据压缩法提取了脉冲波形特征。
The features of pulse waveform are extracted using segmented time domain data compression method.
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