Professional-Image-Modifier-3

~~~~~~~为初级学者使用的遗传算法~~~~~~~~~~~~(Genetic Algorithms for Primary learner)

使用C++和matlab混合编程实现四叉树分解及合并区域的代码(C++ and matlab mixed programming quadtree decomposition and Mergers area code)

说明：  用matlab编写的m文件调用VC++生成的文件，即用matlab调用VC(Matlab m-files written using VC++ calls generated files, that is, VC call with matlab)

particle filter paper in a code, a total of papers in the code implementation mentioned in matlab+ C

K-d树实现。采用matalb和C++混合编译的方式实现。(kdtree provides a minimalistic implementation of kd-tree. The implementation can be used either inside MATLAB by means of MEX calls, or as a standalone tool, directly a C/C++ program. )

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.)

vc++ 与 matlab 混合编程例子

BCH码的原理及BCH (15, 5)码MATLAB编译码仿真过程(BCH code of principles and BCH (15, 5) code decoding simulation MATLAB)

Clear Case briefly introduction power point

本程序基于visual C++ 实现标准正态分布，正态分布累积函数，正态分布累积函数的逆函数分别输出到不同表，是仿真实验的很好参考！(This procedure based on visual C++ Achieve the standard normal distribution, the cumulative distribution function, the cumulative distribution function of the inverse function of the respective output to a different form, is a good reference simulation!)