Kalman-target-tracking

MATLAB程序封装成EXE文件，文章就如何实现这种转换做了详细的说明。(EXE file into a MATLAB program package, the article on how to achieve this conversion a detailed description.)

Fault-Tolerant Control (A Fault-Tolerant Control Architecture for Induction Motor Drives in Automotive Applications)

在matlab环境下，采用二进制的编码方式，利用遗传算法，对数学问题进行研究。(In the matlab environment, the use of binary encoding, the use of genetic algorithms, to undertake a study of mathematics.)

说明：  搜索算法 图形绘制 的matlab源程序 (The graphics rendering search algorithm matlab source code)

常胜将军 :在计算机后走的情况下，要想使计算机成为“常胜将军”，必须找出取 关键。根据本题的要求枷以总结出，后走一方取子的数量与对方刚才一步取子的数量之和等于，就可以保证最后一个子是留给先取子的那个人的。(Ever Victorious General: On the computer where to go, in order to make the computer become " Ever Victorious generals" must be taken to find the key. According to the requirements of this title thoughts to conclude that one party to take the child away after the number of step with each other just to take the child and is equal to the quantity, we can ensure that a child is left to the first final to take the child of that individual.)

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％，不加入噪声，进一步生成某个特定的中频信号。(Matlab generated using GPS C/A code base band signal. (1) generation of satellite PRN number is " 5" a set of C/A code (2) loop generates 25 of the navigation data, GPS time can fill a fixed known value (3) to generate C/A code spread spectrum signal, each C/A code chip gives the four sampling data (4) baseband signals using square wave signal, level 0 and 1, 50 duty cycle, not to join the noise generated further a specific frequency signal.)

TIG-B系列逆变式直流氩弧焊机故障排除(TIG-B Series inverter DC welding machine troubleshooting)

时域自适应滤波中基于先验概率的格型RLS算法(Time-domain adaptive filter based on a priori probability of lattice RLS algorithm)

基于卡尔曼算法的AR模型系数预测，利用卡尔曼滤波算法对AR模型的系数进行实时更新，可以观察到预测准确度有明显提高(Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy)

It is the code to implement Principal Component Analysis, which is a very popular factorization method