基于光谱曲线的相似性度量可以采用光谱角和光谱信息散度进行；
The spectral vector can be used to retrieval directly, and the spectral angle and spectral information divergence (SID) are (effective) in similarity measure.
第二点信息是，我们从散度定理得到的，这就是我花费时间试图解释的。
And the second piece of information that we got was from the divergence theorem, and that was the one I spent time trying to explain.
将一维的表面肌电信号转换为二维的散点图，在这二维的平面空间中研究散点在一周360度的各个方向上的分布情况，提出了象限信息熵的概念。
Converte the one dimension time series into two dimension spot figure, then study the distribution of the spot around the 360 degree directions, compute the quadrant information entropy.
将一维的表面肌电信号转换为二维的散点图，在这二维的平面空间中研究散点在一周360度的各个方向上的分布情况，提出了象限信息熵的概念。
Converte the one dimension time series into two dimension spot figure, then study the distribution of the spot around the 360 degree directions, compute the quadrant information entropy.
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