wenti_1_GA_LS

说明：   在MATLAB中开发的最速梯度法算例(in MATLAB development of the steepest gradient method counting cases)

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NW小世界网络的构成原则为：从一个环状的规则网络开始，网络含有N个结点，每个结点向与它最近邻的K个结点连出K条边，并满足N>>K>>In(N)>>1。随后进行随机化加边，以概率p在随机选取的一对节点之间加上一条边。其中，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。改变p值可以实现从最近邻耦合网络(p=0)向全局耦合网络(p=1)转变。在p足够小和N足够大时，NW小世界模型本质上等同于WS小世界模型。 (NW constitutive principles of small-world networks: from the rules of a ring network, network with N nodes, each node is connected to the K node with its nearest neighbor K edges, and meet N > > K > > In (N) > > 1. Followed by randomization into the plus side, with probability p with an edge between a pair of nodes in a randomly selected. Wherein between any two different nodes at most only one edge, and each node can not have a side connected with itself. P value can be changed to achieve the transition from the nearest neighbor coupling network (p = 0) coupled to the global network (p = 1). When p is small enough and large enough N, NW small-world model is essentially the same as the WS small-world model.)

Wavelet Demo in Matlab

说明：  matlab环境下的90个历程，从简单到复杂，覆盖了matlab所有功能(matlab course of the 90 conditions, from simple to complex, covering all functions matlab)

this code for LMS equalizer

this is adder subtractor simulation model

calculate limpel-ziv complexity of an image

This is one of the best books i have ever used in digital communication. It is really helpful.

统计学习编程题目，是在做作业的时候碰到的一些小例子，对统计学习课程的学习有帮助(Statistical learning programming problem, some small examples encountered at homework time, can be helpful to learn the statistical learning courses)