matlab实现的循环谱估计算法

伪逆分类法的matlab实现，包含训练和测试部分(Pseudo-inverse classification matlab realization, including training and testing parts)

Ns-2 learning basics

超声波层析成像算法，执行文件，基于MATLAB(Ultrasonic tomography algorithm, executable file, based on MATLAB)

1998年, Watts和Strogatz 提出了小世界网络这一概念,并建立了WS模型。 实证结果表明,大多数的真实网络都具有小世界特性(较小的最短路径) 和聚类特性(较大的聚类系数) 。 WS小世界模型构造算法 1、从规则图开始：考虑一个含有N个点的最近邻耦合网络，它们围成一个环，其中每个节点都与它左右相邻的各K/2节点相连，K是偶数。 2、随机化重连：以概率p随机地从新连接网络中的每个边，即将边的一个端点保持不变，而另一个端点取为网络中随机选择的一个节点。其中规定，任意两个不同的节点之间至多只能有一条边，并且每一个节点都不能有边与自身相连。 (In 1998, Watts and Strogatz proposed the concept of the small world network, and the establishment of the WS model. The empirical results show that most real networks have small world (the smaller the shortest path) and clustering properties (high clustering coefficient). WS small-world model construction algorithm 1, from the rules FIG: consider a nearest neighbor coupling network with N points, they are surrounded by a ring, wherein each node and its left and right adjacent to each of K/2 connected to the node, K is an even number. The 2 randomized reconnection: randomly with probability p from the new connection on each side of the network, coming section of one of the endpoints remain unchanged, while the other endpoint is taken as the random selection of a node in the network. Which states that between any two different nodes can have at most one edge, and each node can not be connected to its own side.)

说明：  33节点符合分布式电源电力系统配电网的潮流计算(Matlab language, power flow calculation of power system distribution network)

本程序是专门用来计算二重积分，可是需要工具箱的支撑(Calculation of double integrals)

应用 Ma t l a b ／ S i mu l i n k仿真研究了这种整流器系统的三、c参数和 P I 调节器参数对直流侧电压响应及交流侧谐波与功率因数的影响，提出了一套简单易行、规范化 的设计和参数整定方法。(Ma tlab/S i mu link simulation research of this rectifier system, c parameter and the PI regulator parameters on the response of DC voltage and AC-side harmonic and power factor, a simple, standardized design and parameter tuning.)

在光接入网中采用DFE均衡的方法来降低误码率。(In optical access network, DFE equalization is used to reduce the bit error rate.)

用于矩阵的奇异值分解，解决了自己计算的复杂度(For matrix singular value decomposition to solve their computational complexity)

压缩传感技术是近年来研究的热点，里面含有迄今为止的各种有关压缩传感的算法，都为MATLAB编写(COMPRESSIVE SENSING)