提出了基于最大互信息熵且具有奇数约束的优化得分函数。
A score function for optimization based on maximum mutual information entropy with odditional restriction is proposed.
最后可利用回归法得到各个公因子的得分函数，并可求得各个公司的综合得分。
Then regression method can be used by all the common factors of the score function, and can be integrated score obtained for each company.
基于完全互信息梯度表达式及得分函数差分的性质，提出一种在线频域盲解卷积块算法。
An online block algorithm for frequency domain blind deconvolution was proposed based on the complete mutual information gradient and the properties of the score function difference (SFD).
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