target-tracking-using-kalman

说明：  由于阵列处理中常常需要对接收信号进行分析，MUSIC算法是其中最为经典的(As the array processing is often necessary to analyze the received signal, MUSIC algorithm is one of the most classic)

Veritas filesystem driver - object location table support.

MARKOv的应用 Step 1，求出各食品数据的增长率； Step 2，编程，使快速上升（>=0.03） ，在程序中用“2”表示；缓慢上升 (0,0.03)，在程序中用“1”表示；相对不变 0，在程序中用“0”表示；缓慢下降(-0.03,0) ，在程序中用“-1”表示；快速下降 (<=-0.03)，在程序中用“-2”表示；得到各类食品在不同时期的 ； Step 3，统计相邻增长率变化的一致的次数 ，就菜籽油而言，在2010-3-5到2011-3-15，其增长率为先快速增长后相对不变出现的次数为‘20’=1；具体42中食品的输出情况见附录； Step 4，对每一种食品，分五类进行叠加求和，分别为“先快速增长”、“先缓慢增长”、“先相对不变”、“先缓慢下降”、“先快速下降”；得到 ； Step 5，求出一步转移概率矩阵E ；即 每行的每五个数据依次与对应的 相除，得到概率矩阵E 的一行； Step 6，使用求出的一步转移概率矩阵E ，并求出不同时期的状态概率(MARKOv application Step 1, to obtain the growth rate of each food data Step 2, the programming, so fast rise (> = 0.03), in the program with " 2" slowly rising (0,0.03), used in the program " 1" indicates relatively constant 0, by the program " 0" indicates slow decline (-0.03,0), in the program by " -1" rapid decline (< =- 0.03), in the program with " -2" means get all kinds of food at different times Step 3, the same number of adjacent growth statistics change on rapeseed oil, in 2010-3-5 to 2011-3-15, Its growth rate is relatively rapid growth of the number of times after the first change occurs is ' 20' = 1 42 Output of specific food in Appendix Step 4, for each kind of food, five points are superimposed sum, respectively, " First of rapid growth," " first slow growth" , " first relatively unchanged" , " first slow down" , " first rapid decline" get Step 5, to obtain a step)

pid自适应控制器学习和程序大家学习，很好用的(请求权)

model LPV the DFIG in matlab

多星座导航系统GDOP递推特性的仿真程序,程序主要是争对在现有系统中增加2颗现有星座的可见星时GDOP的变化情况组合仿真(GDOP combination of changes in multi-constellation navigation system simulation GDOP recursive feature of the simulation program, the program mainly to fight for increased two existing constellation of visible stars in the existing system)

随机生成数【matlab例程】经典算法直接应用方便快捷(Random number generator convenient [] classical algorithm matlab routines directly applied)

Linear programming with matlab. A good book about thia topic.

常微分方程的数值解法 包括RUNGE-KUTTA方法 Adams预估——校正算法 和MATLAB自带的ODE45解法(Numerical solution of ordinary differential equations including the method of Adams RUNGE-KUTTA predictor- corrector algorithm and ODE45)

Linear Programlama, matlab uygulama