The research result shows that the method of the diagonal slice of the normalized bispectrum magnitude and K-L transform is an effective method for extracting features from Chinese pulse signals.
研究结果表明，归一化双谱对角切片与K - L变换相结合的方法是提取中医脉象信号特征的有效方法。
The normalized vector is used as the input of RBF NN, and target recognition is performed based on this, which leads to a satisfactory recognition result.
并对该特征向量进行对数归一化，将归一化的特征向量作为径向基函数（RBF）神经网络的输入，在此基础上进行识别，达到较好的识别效果。
The result showed that the normalized-based fringe adjusted joint transform correlator was a kind of reliable correlator.
结果表明基于归一化的条纹调制联合变换相关器是一种比较可靠的相关器。
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