信源熵：是信息论中用来衡量信源信息量有序化程度的一个概念。信源熵值与信源有序化程度成反比；有序度越高，信源熵值越低，反之亦成立。 信源熵的定义：信源各个离散消息的自信息量的数学期望（即概率加权的统计平均值）信源熵的单位是 Bit/sign
... information source coding 信息源编码 information source entropy 信源熵 information source system 信源系统 ...
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该物理量融合了随机序列的相关性和信息论中信源熵的思想，综合反映了残差中所残留的信息量。
The quantity fuses correlation of stochastic process and idea of entropy in information theory, it indicates the amount of information left in residual series.
作为一个例子，论文通过给出最小熵译码器所对应的先验一般信源，揭示了其通用编码的原理。
As an example, we explain the principle of the minimum entropy decoder by finding its corresponding apriori general source.
从而很容易求出各种测度的估计——灰熵、灰信息、灰语义识别信息等及信源感知度。
Thereby we can easily derive the estimates of measures-grey entropy, grey information, grey semanteme recognition information and degree of perception of information source.
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