additive_delay1_jan_09

配电网重构，蚁群算法，非常好，非常适用，可以直接用(Distribution network reconfiguration, ant colony algorithm)

code for sattelite calculaton

求功率谱密度的各种方法MUSIC,RM等等。(Seeking the power spectral densities of various methods the MUSIC, RM, and so on.)

说明：  简单的移动通信系统，在awgn+瑞利衰落条件下，给出同SNR时系统性能(Simple mobile communication system)

说明：  一个遗传算法的函数优化，求函数的最小值，matlab编写的程序(A genetic algorithm for function optimization, seeking the minimization, matlab program written)

Power system stability and control

闭环MIMO系统中的预编码技术块对角化程序，主要是误码率(loop MIMO system of pre-coding technology to block diagonalization procedure is mainly BER)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

simulink仿真噪声模型，算法采用X_LMS，可直接运行(simulink simulation noise model, the algorithm used X_LMS, can be directly run)

介绍了各种matlab函数种类和调用方法，可以帮助大家了解各种matlab函数(it introduces the method of calling matlab function ,and it can help you understand all kinds of matlab function )