proj11-01

对图像匹配的效率进行定量分析 很好用的matlab程序(The efficiency of the image match well with the matlab quantitative analysis program)

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)

说明：  程序用来识别破损的物体，并标注显示。比如在一堆球形的物体中有非球形的物体，可以方便的检测出来，并显示位置(Procedures used to identify damaged objects, and label display. For example, in a pile of spherical objects in non-spherical objects can be easily detected, and the display position)

Principal componenet analysis code written in matlab paltform in order to solve multivariate problems like discriminating bological disease states from healty ones.

电磁耦合无线输能系统仿真，关于磁线圈状态的仿真(wireless power transport)

High Pass Filter for some frequency

matlab中的clock函数与进度条联合使用例子(matlab in clock function in combination with the progress bar examples)

利用行像素点、列像素点识别分割字符成单个字符图像----letercog.m(The row of pixels, pixel columns into a single character recognition segmentation, image---- letercog. M)

EKF计算kalman filter 中的EKF(EKF Kalman filter calculation of the EKF)

对k近邻方法进行改进，knn方法中自动获取k值(Automatic selection of K value in KNN algorithm)