matpower

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

this is the code of facial recognition system

MATLAB高级讲义2(矩阵与向量的乘积,绘制单位圆,图形文字标示命令的使用,图形分割命令的使用等)(MATLAB Advanced Materials 2 (matrix and vector product, mapping the unit circle, graphics commands the use of the word mark, graphics, order the use of segmentation, etc.))

隐马尔科夫模型学习最佳范例 word 详细介绍马尔科夫模型原理(The best example of the hidden Markov model learning word detailed introduction of the principle of the Markov model)

说明：  获取图像的mser区域，使用matlab语言(Get image mser area, using matlab language)

卡尔曼的程序，里面有个基础的卡尔曼程序还有一个图像跟踪的卡尔曼程序。(Kalman s procedure, which has a basic program and a picture of Kalman Kalman tracking procedures.)

Some source matlab code about image processing

matlab algorithm matlab教程 matlab方程求根(matlab algorithm)

是黄鄂教授的原版论文，主讲希尔伯特黄变换的，很有用的，大家可以看看(it is very useful for singal process)

陆吾生教授短期课程“压缩感知方法及其在稀疏信号和图像处理中的应用”资料，使用的源码，有参考价值(Professor Lu Wusheng Short Course " compressed sensing method and the sparse signal and image processing applications," the source data, the use of a reference value)