GA_JSP

在MATLAB下的UKF程序………………(UKF under the MATLAB program ... ... ... ... ... ...)

Genetic algorithm feature selection by using SVM

几种ESPRIT算法性能分析的程序实例,是基于信噪比和阵元数为指标进行性能分析的(Several instance ESPRIT algorithm performance analysis, performance analysis is based on indicators of SNR)

ode solver for Improved Euler Algorithm

说明：  基于LQR方法的风电机组变桨距控制的动态建模与仿真分析 模型搭建完成，功率跟踪效果良好(Dynamic modeling and simulation analysis of wind turbine pitch control based on LQR method The model is built and the power tracking effect is good)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

宽带波束形成，有点小问题，欢迎大家批评指正(broadband beamforming, a little, and welcomes your comments and corrections)

基于MATLAB的BUCK电路的仿真，内环是电流环，用无源控制，外环电压环，用PI控制(Based on the passive control of MATLABBUCK circuit)

线性方程组，非线性方程组，最小二乘拟合等数值算法的matlab实现。(Linear equations, nonlinear equations, numerical algorithm such as least-squares fitting of the realization of matlab.)

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem