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QaM在加性高斯白噪声下的系统仿真模型，使用的是simulink(QAM in additive white Gaussian noise of system simulation models, using simulink)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

Goal of the project was to use numerical methods for solving systems of ordinary differential equations (ODE) using MATLAB software. As in previous assignments first of all I had to research for algorithms, which would be helpful during evaluation of each task, later on I was able to implement and test numerical methods for solving given problems. Each student received electric circuit containing different elements to solve. Each task is presented under separated heading, with its full description, problem discussion, my approach for solving it and explanation.

i am in need 4g related matlab code.i learning in area of lte-advanced downlink for writing the matlab code

segmentation code in image processing

说明：  基于Matlab神经网络工具箱的电弧焊工艺参数优化(Based on Matlab neural network toolbox of electric arc welding process parameters optimization)

这是一个用matlab编写的ofdm接收端程序，非常简洁，欢迎大家下载(This is a written with matlab ofdm receiver program, very simple, are welcome to download)

matlab针对flooding算法的仿真，可以运行(matlab simulation algorithm for flooding, you can run)

matlab应用源程序，只能采集，网络连接(matlab application source code, can collect)

Matlab R2009b与MSVC 2008混合编程的源代码！(Matlab R2009b with MSVC 2008 Mixed programming source code!)