pe_pmsm_drive

一个人体运识别跟踪的示例程序，里面附带了一个运动视频，运行run.m文件。程序里包含了轮廓提取，跟踪算法，很好的tracking学习程序(An example program for personal movement recognition and tracking is attached to a sports video, running run.m files. The program includes contour extraction, tracking algorithm, good tracking learning program.)

关于低密度奇偶校验码的生成，采用matlab编写，主要是校验矩阵的产生 (on low-density parity-check code generation, prepared using Matlab, mainly for the selection of calibration matrix)

微粒群优化算法，经典的粒子群优化算法，第一参数是适应值函数，因此方便多次使用(Particle swarm optimization algorithm, the classical particle swarm optimization algorithm, the first parameter is the fitness function, so convenient to use many times)

说明：  连续波信号调频的雷达处理,利用MATLAB/Simulink进行编程和仿真(FM continuous wave radar signal processing using MATLAB/Simulink programming and simulation)

本代码实现了SVM分类算法实现寻找最佳的c和g。(SVM Classification Algorithms to Find the Best C and G)

自适应线谱增强算法通过自适应技术减弱噪声，并增强有用信号的功率谱。(This demonstration illustrates the application of adaptive filters to signal separation using a structure called an adaptive line enhancer (ALE). In adaptive line enhancement, a measured signal x(n) contains two signals, an unknown signal of interest v(n), and a nearly-periodic noise signal eta(n). The goal is to remove the noise signal the measured signal to obtain the signal of interest)

说明：  有频带方差和谱熵法。自己实现加窗分帧。里面设计傅里叶变换还有矩阵的运算。(speech endpoint detection. frequence_diff and pushang.)

基于均匀圆阵的信号二维方向角高精度估计 (Angular precision estimates based on two-dimensional uniform circular array signal direction)

电子稳像灰度投影算法的电子稳像算法，针对最近matlab2013a进行了修改，使得程序可以适应更多视频格式，可直接运行，效果良好(Electronic image stabilization gray projection algorithm electronic image stabilization algorithm was modified for the recent matlab2013a, so that the program can accommodate more video formats, can be directly run to good effect)

最小二乘，极大似然定位算法，其中包括二维和三维的最小均方误差定位算法以及连续定位算法(Least squares, maximum likelihood localization algorithm, which includes two-dimensional and three-dimensional minimum mean square error localization algorithm and continuous positioning algorithm)