TFA

As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.

径向基神经网络Matlab编程，包含4个分厂不错的Matlab程序，读者可以下载运行一下看看。(Radial Basis Function Neural Networks Matlab programming, including 4 branch good Matlab program, readers can download to run about to see.)

灰度图像边缘检测中的laplacian算法的MATLAB仿真实现(MATLAB simulation grayscale image laplacian edge detection algorithm to achieve)

Blood vessel segmentation

navigation.rar包含5个有用的导航程序； navigation.m为纯惯导解算程序； integrated_navigation为组合导航程序； KalmanAlign10.m为卡尔曼滤波对准程序； create_data.m为原始数据创建程序； ssm.m为结果显示程序(navigation.rar contains five useful navigation program navigation.m pure INS solver KalmanAlign10.m for the Kalman filter alignment procedures create_data.m create a program for the original data integrated_navigation for integrated navigation procedures ssm. m is the result display program)

ali path source of metronic

说明：  这是matlab编写的射线网格法追踪，用于追踪波的射线轨迹(This is prepared matlab ray tracing grid method, used to track wave ray tracing)

盖尔圆法进行信号源数估计，方面不错。也可应用于聚类算法。(Source number Gail round signal estimation method, good aspects. Can also be applied clustering algorithm.)

Min/Max filter，最大最小滤波器，说明看英文，只是国外的人写的代码， (Description The filter computes the minima and/or maxima of an array over sliding window with a given size. Multidimensional array is fully supported: running filter in 1D, 2D filter for image processing applications (erosion/dilatation), 3D and more. This package has been implemented with a special care on the running speed: the MEX engine uses an algorithms that requires no more than three (3) comparisons per element and per dimension in all configurations. All numerical and logical class arrays are supported. Contributor (beside author) is Vaclav Potesil Acknowledgements This submission has inspired the following: Free-knot spline approximation MATLAB release MATLAB 7.8 (R2009a) Other requirements MEX correctly setup NO image processing is required Download a tiff file for )

机器人路径规划程序，matlab实例。图片分析比较全面。(Robot path planning procedures, matlab instance.)