LCMV

关于matlab 的书，好赖看看就知道了(Introduction to Scientific Computing A Matrix- Vector Approach Using matlab)

说明：  CATIA V5创成式工程图设计官方文档，总共490页，很好的学习帮助(CATIA V5 generative drawing style design)

LINDO数学规划模型 与最大、最小、最长、最短等等有关的问题。(LINDO mathematical programming model with the maximum, minimum, maximum, minimum, and so the problem.)

this code of matlab finds the roots of equation by gauss elimination mthod

ML法能够很好的估计信号的信噪比,各种资源分配算法实现，验证可用。( ML estimation method can be a good signal to noise ratio, Various resource allocation algorithm, Verification is available.)

图像的评价标准有熵、加权峰值信噪比、加权结构相似度、结构相似度、交叉熵、空间频率 这些都有是比较常用的判断标准(FusionEvaluation)

MATLAB实现jacobi法程序的源码MATLAB source code to achieve the program jacobi method(MATLAB source code to achieve the program jacobi method)

power engineering field calculating induction motor parameter by Mfile code in Matlab

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

Time series statistical analysis, used to obtain various statistics,include Variance Median The maximum value The minimum value Standard deviation Skewness Kurtosis Jarque-Bera test Concomitant probability of Jarque-Bera test