时窗外数据熵极大提高了接收函数的分辨率。
The maximum entropy of the data outside window increases the resolution of receiver function.
提出了一类解极小极大问题的熵函数法，这种方法也可用来解线性或约束优化问题。
A method for solving minimax problem is presented, which also can be used to solve linear or constrained optimization problems.
极大极小问题是一类不可微优化问题，熵函数法是求解这类问题的一种有效算法。
Minimax problem is a sort of non-differentiable optimization problem and the entropy function method provides a efficient approach to solve such kind of problems.
对求解最优化问题的极大熵方法中的关键函数——K- S函数的一致不变凸性作了讨论，得出“K-S函数是一致不变凸的，则一定是不变凸的”结论。
It was discussed that the consistent invexity of K S function which is the key function used by maxinum entropy method in optimization problems solution.
本文分为四个部分：第一部分介绍极大熵方法，并给出了一个方法如何避免熵函数的溢出；
This method attempts to overcome some drawbacks of former methods, especially the maximum entropy function method.
本文分为四个部分：第一部分介绍极大熵方法，并给出了一个方法如何避免熵函数的溢出；
This method attempts to overcome some drawbacks of former methods, especially the maximum entropy function method.
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