ACO-Based-Routing-Algorithm-for-Cognitive-Radio-N

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.)

matlab进行人脸识别的简单代码，功能简单仅供参考(simple face recognition matlab code, the function simply for reference purposes only)

美国麻省理工学院MIT的MATLAB介绍，值得一读!(book)

基于墨西哥草帽小波和BP神经网络算法实现预测分析。(Predictive analysis based on Mexican hat wavelet and BP neural network algorithm.)

introduction to simulink

说明：  模块化多电平换流器基于半实物仿真平台的设计方案(Design of modular multilevel converter based on hardware in the loop simulation platform)

人脸检测，matlab源码，适合初学者使用，包括Adaboost及Haar-like特征提取(face detectiom)

filter which track the data and noise accurately strong tracking

Frequency-resolved optical gating

Matlab/Simulk M-QAM Modulation & Demodulation module