The relation between the maximum entropy method and the exponential penalty function method is analysed in this paper.
就非线性极大极小问题，阐明了极大熵方法与指数罚方法的关系。
The results show that the maximum entropy method is more sensitive to the gain and phase errors than the maximum likelihood method (MLM) and MUSIC method.
结果表明最大熵算法较最大似然估计（MLM）算法和MUSIC算法对幅相误差的影响更加敏感。
In the simulation process, the author found that the maximum entropy method exists overflow problem, and the problem was successfully resolved by variable change method.
在仿真实现过程中，发现最大熵方法存在溢出的问题，通过变量变化法成功解决了此问题。
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