xiaobofenjie

Jacobi 方法，利用平面旋转矩阵所构成的正交相似变换将对 对称矩阵化为对角型的方法(Jacobi method, the use of planar rotation matrix by orthogonal similarity transformation consisting of the symmetric matrix into a diagonal-based method)

自己写的MATLAB的防射变换的程序。请多多指教(Write your own MATLAB Anti-shot transformation process. Requests the exhibitions)

说明：  多元线性分析，之聚类分析原理资料2（与1不同）(Multiple linear analysis, the principle of cluster analysis data 2)

恒虚警率的matlab程序,可以设置固定阈值，对于信号分析时候非常有帮助(Constant false alarm rate of matlab program, you can set a fixed threshold for the signal analysis is very helpful)

光伏MPPT最大功率跟踪仿真模型，很有参考价值的算法(Photovoltaic maximum power tracking of MPPT simulation model, the algorithm of great reference value)

利用神经网络进行语言特征的识别，很有用的代码，希望对大家有用(Neural network is used to identify the characteristics of language, is very useful code, hope useful for everyone)

基于遗传算法，进而优化惩罚因子，核函数参数的的支持向量机进行分类(GA SVM classification)

说明：  在人们的生产实践中，经常会遇到如何利用现有资源来安排生产，以取得最大经济 效益的问题。此类问题构成了运筹学的一个重要分支—数学规划，而线性规划(Linear Programming 简记LP)则是数学规划的一个重要分支。自从1947 年G. B. Dantzig 提出 求解线性规划的单纯形方法以来，线性规划在理论上趋向成熟，在实用中日益广泛与深 入。特别是在计算机能处理成千上万个约束条件和决策变量的线性规划问题之后，线性 规划的适用领域更为广泛了，已成为现代管理中经常采用的基本方法之一(In people's production practice, we often encounter how to arrange production with the existing resources so as to obtain the maximum economy Benefit issues. Such problems form an important branch of operations research - mathematical programming, while linear programming (Linear Programming or LP) is an important branch of mathematical programming. Since 1947, G. B. Dantzig proposed Since the simplex method for linear programming, linear programming tends to mature in theory and is more and more widely used in practice In. Especially when the computer can deal with thousands of constraints and decision variables of linear programming problems, linear The application field of planning is more extensive, and has become one of the basic methods used in modern management)

8psk in Rayleigh fading

说明：  四类语音信号的BP神经网络识别： 四个特征信号矩阵合成一个矩阵， 根据BP网络输出找出语音数据属于哪类， 并求出判断正确率(BP neural network to identify four categories of speech signals MATLAB)