介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理，并采用VC+十语言对 功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的 模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。 -Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation prin

主要介绍了分布估计算法方面关于熵的介绍，实现最大熵分布估计算法-Mainly introduces the estimation of distribution algorithm on entropy is introduced, the realization of maximum entropy estimation of distribution algorithm

In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or cl