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说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

复数计算，使用类来做的，可以选择自己要计算的方式(Complex calculation, using the class to do, and can choose their own way to calculate the)

汉明码在matlab环境下的编码程序，经本人测试好用(Hamming code in matlab coding process environment, as I use to test)

CODIGO VISUAL BASIC PARA codigo de barras

说明：  基于VB与MATLAB的数字图像处理软件设计(VB and MATLAB-based digital image processing software design)

进行时延估计 包含双谱和互相关两种方法 没有高阶累积量(For time delay estimation contains double spectrum and cross-correlation two ways No higher order cumulants )

第k小元素（分治法） 给定一个线性序列集，要求求出其中指定的第K小的数的值和位置.如给定n个元素和一个整数i，1≤i≤n，输出这n个元素中第i小元素的值及其位置；(First k small element (divide and conquer) Given a set of linear sequence, where the specified requirements determined the K value and the small number of locations, such as a given n elements and an integer i, 1 ≤ i ≤ n, output this is the n elements of the i-th element value and the position of the small )

二维OSTU方法 ，能够自动给出合适阈值 matlab环境下开发(Two-dimensional OSTU method that can automatically give the appropriate thresholds developed under matlab environment)

入门omnet++,omnet++仿真实验，欢迎大家一起交流。(It is very useful for student who study omnet++.)

此程序可由固定位置的标定点，逆推摄像机的世界坐标。(This procedure can be fixed by the location of the calibration points, the world coordinate inverse camera. )