GMM

这是介绍matlab使用的资料，简单实用，可以提供快速学习，简单易懂，非常好的东西(This is to introduce the data used matlab, simple and practical, can provide fast learning, easy to understand, very good thing)

中值滤波函数，用matlab遍写的中值滤波函数，可以在程序中改写滤波模板的大小，自己设定。(Median filter function written with matlab times the median filter function can be rewritten in the program the size of the template filter, self-imposed.)

这是一个本人编写的一个接联惯性导航系统解析粗对准程序可观测性分析的一个程序。(This is the one I prepared received an Inertial Navigation System Analysis rough alignment procedures observability analysis of a trip sequence.)

pps.tv进程专杀,可以设置为开机计划任务，自动清除安装pps.tv后自动运行的两个进程：ppskernel和ppsprotec,这两个进程大量占用网络带宽。(pps.tv process kill tool)

进行图像的角点提取，方法是先通过Harris方法选初始点，然后对初始点进行Forstner算法进行筛选，最后得到图像角点。(The image of the corner detection, the method is to first select the initial point through the Harris method, and then point Forstner initial screening algorithm, the resulting image corner.)

可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码(The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code)

MATLAB求解非线性约束方程组的学习资料，指导如何使用MATLAB自带约束函数进行求解(MATLAB for solving nonlinear constrained equations learning materials, guidance on how to use MATLAB to solve its own constraint functions)

雷达方程，包括一般的雷达方程，搜索条件下，跟踪条件下，杂波条件下的雷达方程仿真(Radar equation, including the general radar equation, under search criteria, under track conditions, under the radar clutter simulation equation)

说明：  Matlab中如何实现二维和三维隐函数绘图 内含实例(Matlab, how to achieve two-dimensional and three-dimensional graphics containing examples of the implicit function)

详细介绍了多种图像处理的案例，包括原代码！用于进行图像处理、分析、可视化和算法开发。可用其对有噪图像或退化图像进行去噪或还原、增强图像以获得更高清晰度、提取特征、分析形状和纹理以及对两个图像进行匹配。(Introduced a variety of image processing of cases, including the original code! Used for image processing, analysis, visualization, and algorithm development. Its noisy image can be used or degraded image denoising or restore, and enhance in order to obtain higher resolution images, extract features, analyze shapes and textures as well as the two images to match.)