Exp03m

附件包括了运用mimo技术实现的ofdm系统，其中包括信道的创建，调制解调技术，还有相关指导文档(Accessories include using mimo ofdm systems technology implementation, including the creation of the channel, modulation and demodulation techniques, as well as the relevant guidance documents)

快速的2D/3D区域生长算法，通过对邻近像素进行优先级排队进行加速，效果优于matlab本身的区域生长算法(Native Matlab implementations of region growing algorithms are usually quite slow, especially for 3D input data. This submission is a mex implementation of a 3D/2D region growing algorithm. The region growing process is further accellereated by using priority queues for the neighbourhood pixels.)

多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。(More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are detailed notes.)

plotting pixels of images

永磁无刷直流电机控制系统matlab/simulink仿真程序，非常不错！(Permanent magnet brushless DC motor control system matlab/simulink simulation program, very good!)

发送端采用严格的开根号升余弦滤波器，而发送端采用进行过量化处理的开根号升余弦滤波器，仿真量化处理对系统性能的影响(Sender strict roots and raised cosine filter, while the sender had used for the quantification of the roots and raised cosine filter, simulation, quantification of the impact on system performance)

Contain Matlab files in digital steganography

着是对蓝牙技术的一个系统仿真的程序，使用的是MATLAB平台进行的(With Bluetooth technology is a system simulation procedures are used in the MATLAB platform)

VC MATLAB 混编示例 ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.(ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.)

　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate. )