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中文摘要：
基于自信息函数为一可微凸函数这一事实,利用自信息函数所对应的Jenson离散型不等式,得到了有关最大熵与信息熵之差上界的一些结果.
英文摘要：
Based upon the fact that the self-information function is a differentiable convex function,some results concerning the upper bounds of the difference between maximum entropy and entropy of information are proposed by using the counterpart of Jensen’s discrete inequality for self-information function.
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