InductionMotor-ScalarControl-Simulink-Model

knn—k近邻准则matlab实现，适合初学者(knn-k neighbors to achieve the criteria matlab)

对于InSAR 系统,当波长较长时,干涉图条纹频率较低,相位解缠容易,但反演的高程精度较低 而当波长较短时,干涉图条纹频率较高,相位解缠困难,但反演的高程精度较高. 为了充分利用多波段 InSAR 干涉相位之间的互补信息,设计了利用中国余数定理的多波段InSAR 相位解缠方法,采用由DEM 仿真的多波段干涉图进行了相位解缠实验,得到了理想的解缠结果,成功解决了因地形起伏较大或基线较长而引起的干涉相位欠采样处的相位解缠难题.(For the InSAR System熏when the wavelength is longer熏the frequency of fringes will be lower熏the phase unwrapping will be easier熏and the accuracy of derived heights will be lower. However熏when the wavelength is shorter熏the frequency of fringes will be higher熏the phase unwrapping will be more difficult熏and the accuracy of derived heights will be higher. In order to make the best use of compensatory information in multi鄄band InSAR phases熏the phase unwrapping algorithm with the Chinese Remainder Theorem for multi鄄band InSAR is designed. The multi鄄band interferograms simulated from DEM are applied to do phase unwrapping experiments. The satisfying phase unwrapping results are obtained. The difficulty in phase unwrapping of sub鄄 sampling interferometric phases due to great hypsography or longer baseline is removed.)

This code gives the filter function which has the values as per the various performance metrics.

加速度计原始数据卡尔曼滤波,对加计原始数据的卡尔曼滤波matlab程序(Kalman filtering raw accelerometer data, plus the raw data for the Kalman filter matlab program)

说明：  bp神经网络用于分类的matlab程序，修改数值就可适用(bp neural network for classification matlab procedures can modify the application of numerical)

1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made ​ ​ into MML command line script data.)

三相并网系统，包括锁相环，坐标变换，解耦控制等算法，通过验证(Three-phase grid-connected systems, including phase-locked loop, coordinate transformation, decoupling control algorithm, validated)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

说明：  BP神经网络用于分类与回归 1、NeuralNetwork_BP_Classification.m - 分类 2、NeuralNetwork_BP_Regression.m - 回归 (BP neural network for classification and regression 1, NeuralNetwork_BP_Classification.m- Category 2, NeuralNetwork_BP_Regression.m- Regression)

MATLAB仿真程序，波达方向、波达角估计，波束形成算法(MATLAB simulation program, DOA, DOA estimates beamforming algorithm)