PCMsheji

wonderfull sourcne code for weka tools mential

基于matlab的条件平差，实现测绘计算工作的简化(Adjustment based on the conditions of matlab)

eigenmode calculation from farfield patterns of antenna array

Bi-variant distribution

5 link simulation technique using matlab

有限元分析 清华大学 范子杰 有限元作业第9讲 薄板单元作业2(Finite element analysis of finite element Tsinghua Fan Zijie job Lecture 9 2 thin unit operations)

一本非常好的matlab编程练习题，很有针对性，层次分明，重点和难点突出，。具有很高的参考和学习价值.(It is a very useful book of matlab programming practice.The gradation is distinct, important and difficult points is outstanding.So it has high value of reference and study.)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

Canny detector using hysteresis and non-maximum supression

主动声纳恒虚警检测，包括常见的几种恒虚警检测以及相应的融合检测(Active sonar constant false alarm detection, including several kinds of common constant false alarm detection and the corresponding integration testing)