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VC++与matlab混合编程。包含源代码和文档说明。(VC++ mixed programming with matlab. Contains the source code and documentation.)

压缩感知的BP MP OMP重构算法比较，包括运行时间、误差、PSNR的比较，稀疏表示为小波变换(compressed sensing reconstruction algorithm comparing BP MP OMP, including comparative run-time error, PSNR ，sparse representation is the wavelet transform)

desing and control of a power inverter in alpha/ beta coordinates

说明：  基于RBF神经网络辨识的单神经元PID模型参考自适应控制, 基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification)

matlab做的单相全桥半波整流模型，移相范围为0~180度(matlab to do a single-phase full-bridge half-wave rectifier model, phase ranges 0 to 180 degrees)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

This paper presents a control speed using IFOC for induction motor.

基于最小均方算法的自适应数字波束形成器matlab程序(Algorithm based on minimum mean square adaptive digital beamforming matlab program)

Series and Prallel Feedbaack

此代码是计算两个数据之间的相关性的，直接调用Matlab里的功能函数(This code is to calculate the correlation between the two data directly call Matlab functions)