matlabfunctions

chen分数阶混沌程序,good good(chen fractional order chaotic process, good good)

bpsk编码很适合出学者,已经经过调试 加了个 升余弦滤波(BPSK encoding is very suitable for the academics, have been debug plus a raised cosine filter)

游程检验,适用于数学学习学生，或者计算机方面需要的研究者(Runs test for students of mathematics learning, or the computer needs of researchers)

说明：  matlab,蚁群算法解TSP，M文件，最优解(matlab, ACO for TSP, M files, the optimal solution)

This code is useful for two paths rayleigh signals

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

详细讲述了，matlab与VC++6.0的混合编程(Described in detail, matlab mixed with VC++6.0 programming)

两倍过采样的频域均衡器，采用MMSE算法最小化均方误差(two upsample frequency decision feedback equaliter，with MMSE criterion)

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

this is a tcp ip communication