matlab

在1x1的单位矩形中随机部署传感器节点，而且假设每个节点的通信半径一样，要求利用蒙特卡洛算法进行1000次试验分别模拟出连通率随节点数增加以及通信半径增加的变化趋势。(Random units deployed in 1x1 rectangular sensor nodes, and assumed that the communication radius of each node, requires the use of Monte Carlo algorithm to simulate the 1000 trials were increased with the number of nodes increased connectivity and communication radius increasing trends.)

编制不同数制间的转换程序。要求提供输入输出界面，当输完一个任意十进制数字， //程序能自动将其转化为另外的数制表示的值，包括二进制、八进制和十六进制(Between the preparation of the different number system conversion process. Asked for input and output interfaces, when the losers an arbitrary decimal number,// program can automatically be converted to another number system, said values, including binary, octal, and hexadecimal)

说明：  利用matlab产生白噪声，是建模与辨识的基础程序(White noise generated by matlab is the basis for modeling and identification procedures)

Stock forecast program source code

MIPS assembly code for program that finds lowest of entered numerical values.

基值於,細菌演算法,優化出最佳PID計算值(Based on the value, bacteria algorithm to optimize the calculation of the optimal PID values)

聚类算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。 这里是MAtlab源代码。(err)

matlab 车牌识别，图像预处理，图像分割，字符识别等(matlab image processing， image segment)

根据混合粒子群算法原理，在MATLAB中编程实现基于粒子群算法的TSP搜索算法，给出了适应度函数，粒子初始化，交叉操作，变异操作，最后给出了仿真结果。有图可以看出，混合粒子群算法能够较快找到连接各个城市的最优路径，谢谢，希望能够给大家带来帮助。(According to the principle of hybrid particle swarm algorithm, programmed in MATLAB Based on Particle Swarm TSP search algorithm given fitness function, particle initialization, crossover and mutation operation. Finally, the simulation results. There can be seen, hybrid particle swarm algorithm can quickly find the optimal path to connect each city, thank you, hope to be able to give us help.)

将一个m文件转成c /cpp文件并在VC中进行编译。这种方法有个烦人的地方，每次你都需要把matlab生成的一 大堆c和h文件考到vc中，比如我读入一副图片先做膨胀，再腐蚀，再进行小波变换，最后 显示。这样一个程序会生成大概150多个文件，每次都要拷贝这些文件很不方便。我试着用 了另外一种方法，可以简化这些工作。那就是不生成cpp文件交给VC去编译，而是直接在m atlab中生成一个dll交给VC去链接即可。这样无论matlab生成多少文件，都只需要拷贝三 个文件即可。 (m to a document conversion c/cpp files and compile VC. Such a method is a nagging place every time you need Matlab has generated a lot of c and h vc document examination, for example, I read a photo, first expansion, and corrosion, further wavelet transform, the last show. Such a procedure will probably generate more than 150 documents, each copy of these documents must be very inconvenient. I tried another kind of approach can simplify their work. It is not generating cpp documents to the VC to compile, but m atlab directly in the formation of a dll to the VC to link. No matter how many documents generated Matlab, only three need to copy documents.)