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UWb超宽带的仿真代码.matlab编写的,可以参考(UWb UWB simulation code. Matlab prepared, you can refer to)

用超球面支持向量机进行多类分类,每个超球面覆盖一个类(Hypersphere support vector machines using multi-class classification)

一个非常好的定位算法，适用于源定位，包括文章和算法(Alleviating sensor position error in source localization)

Harris角点检测Matlab源码。自己编写，测试后效果明显，欢迎大家下载赐教。使用时请修改图片的路径。(Harris corner points detection)

滤波器的Matlab实现(内有8个文件)(Filter Matlab realize (there are 8 files))

RLS algorithm for modeling AR filter using matlab

这是一个模糊聚类代码（matlab）供大家学习(This is a fuzzy clustering code (Matlab) for all study)

求解Lambert问题。 输入：轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t(缺点是脉冲太大)。 输出：质点在R1端点的速度V1，质点在R2端点的速度V2. 此函数用于：在给定轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t。求解V1、V2。再调用前面的函数就可以确定轨道根数，及任意时刻质点的状态。(To solve the Lambert problem. Input: track two-point position vector R1, R2, and R1 to R2 used in the time t (The disadvantage is that the pulse is too large). Output: particle R1 endpoint speed V1, the particle in the R2 endpoint speed V2. This function is used: two points in a given orbit position vector R1, R2, and from R1 to R2 with the time t. Solve the V1 and V2. And then call the previous function can determine the orbital elements, and any moment of the particle' s state.)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )

介绍了MATLAB实现光线补偿的代码 实现人脸识别的预处理(Introduced the MATLAB code to achieve light compensation recognition of pre realize)