课程作业时的局部均值分解（LMD）算法开源程序

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

有循环检测，周期性检测，针对EMD方法的不足,光纤陀螺输出误差的allan方差分析。( There are cycle detection, periodic testing, For lack of EMD, allan FOG output error variance analysis.)

跳频通信系统的研究其中是讲述很细致包括很多具体的内容(Frequency hopping communication system which is very meticulous about the content including the many specific)

说明：  例子群优化的一个的简单小程序，是利用matlab写的。(Swarm optimization example of a simple small program, was written by matlab.)

说明：  matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

GPS卫星信号捕获Matlab程序，采取并行码相位搜索策略，使用1ms数据进行粗捕获， 并使用10ms的长度数据进行载波频率的精确捕获。

说明：  这些程序都是经过本人和许许多多工作过学习过的老师同学，以及一些志同道合的哥么们长期使用验证确实好使的(these procedures are numerous and I worked and studied the teachers and fellow students, and some like-minded Columbia Mody have long-term use of the test so that really)

MATlab code for frequency hole detection in cognitive radio

PLOT_FRONTS space-time plot of rupture front and process zone tail slip velocty threshold to define rupture front rupture times (for which V=Veps) at each point with quadratic time interpolation

说明：  时间序列模型的构建及分析，ARMA(n,m)模型的构建，AR模型的构建(Time series model construction and analysis, arma(n,m) model construction, ar model construction)