some-matlab-orders

system identification and DMC control of a debutanizer plant

matlab的knn网络，最小二乘算法，softsvm分类器实现，以及简单的交叉验证等，三种产检的方法(knn，softsvm matlab)

对数据进行reof处理，得到数据的空间模态和时间系数(Matlab function of reof)

thats source ECG code that could be usefull

永磁电机双闭环调速，转速外环，电流内环，最后转速平稳(Double-loop speed permanent magnet motor, speed outer, inner current loop, the last speed steady)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

说明：  matlab6.5的教程，包括pdf文档，和m文件，以及mdl模型(matlab6.5 tutorials, including pdf documents, and m files, and mdl model )

通用感应器神经网络，神经网络的例程，值得学习！(Universal sensor neural network, neural network routines, it is worth learning!)

COMPRESSION OF YTHE IMAGE USING DCT

经验模式分解例程.开源,C和matlab混合编程(Empirical mode decomposition routines. Open source, C and matlab mixed programming)