MATLAB-IMAGE

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)

基于奇异值分解的一维噪声处理，分别用了三种阈值做了对比，希望对您有所帮助！(Based on singular value decomposition of the one-dimensional noise process, three thresholds were used to do a comparison, I hope for your help!)

关于恶意代码检测和LTE网络，4G的LTE-A网络的外语文章(Foreign-language article about malicious code detection and lte network, lte-a network of 4g)

自适应均衡中LMS算法的仿真程序，输出曲线与均方误差曲线(Adaptive equalization in the LMS algorithm simulation program, the output curve and the mean square error curve)

c++通用技能编码能力提升：组件安装管理程序，已测试。(c++ generic skills coding capacity building: Component Installation Manager has been tested.)

对想了解pc控制鼠标指针的源码的人有帮助，包括windows调用了那些函数，用了那些库文件等。(Would like to know the source pc control the mouse pointer to help people, including those functions called windows, with those library files.)

OutputText.rar例子，关于txt输出，注释的特别详细(OutputText，special for txt)

说明：  用遗传算法解决旅行商问题(附源代码)，遗传算法其实是一种求函数极值的随机搜索算法。(Solving the traveling salesman problem using genetic algorithms (with source code), genetic algorithm is a kind of extreme demand function of random search algorithm.)

微分方程网格生成 计算传热学 离散方法 自适应网格(The differential equation of grid generation)

一阶熵、二阶熵和差分熵c++程序 求熵用的 (A first order, second order entropy and entropy difference entropy ofc++ program)