buffon_demo

用于扑克的识别 主要原理是 先把左上角的截去一个角（涉及到智能判断切片大小） 之后通过区域查找和HSV模型 辨别出颜色 和找出相应的区域 然后利用编码形式 识别数字和花式(The main principle for the identification of poker is to first truncate the top left corner (relating to intelligence judgments slice size) after the HSV model through regional search and identify colors and find the appropriate form of identification coding region and then use digital and fancy)

包括回归分析和概率统计，是信号处理的基础，小波包分析提取振动信号中的特征频率。( Including regression analysis and probability and statistics, Is the basis of the signal processing, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  蒙特卡洛算法代码，实例验证，matlab历程(Monte Carlo algorithm code, case validation, matlab process)

光流场的经典算法，对动态目标的检测和识别有帮助。(Classical algorithm of optical flow field, for dynamic target detection and identification help.)

引入ECG信号bat等文件，是不可少得的M文件(The introduction of ECG signal bat and other documents is indispensable document obtained M)

This code is a matlab Artificial Bee Colony based Polynomial neural network, using set is CHD,HOUSING,JENKIN,MACKEY.

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

simulink下封装的混合高斯的s-funcion函数。用于模型模块的搭建。(simulink package under the Gaussian mixture of s-funcion function. The structures used to model the module.)

关于图像隐藏的几个例程。属于matlab图像处理的内容，图像隐藏和提取。(hidden images on several routines. Matlab is the content of image processing, image and extract hidden.)

连续信号（可以自定义的函数）的FFT效果图，初学者学习的例程，不错(Continuous signal (can custom functions) of the FFT renderings, for beginners to learn the routine, good)