Get_K_M

matlab编写的用于插值和拟合的源代码(matlab interpolation and fitting for the preparation of the source code)

Perceptron.M algorithm

求信号二阶矩的matlab源程序，在基于二阶统计量的信号处理中有重要作用 (second-order cumulant)

利用小波分析对图像进行二级分解和重构的Matlab代码，带有中文注释，包括哈尔小波、上/下采样子函数(Using wavelet analysis to the image of the secondary decomposition and reconstruction of the Matlab code, with Chinese translations, including the Haar wavelet, up/down sampling Functions)

MATALB code to extract features from EEG signal

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.)

是我的模式识别的作业，可以成功的分类iris数据，大家可以(is my pattern recognition operations, the classification can be successful iris data, we will look at)

根据数据点拟合椭圆。。自己一直在用，很不错，是官网上下的(failed to translate)

基于simulink的单相不控整流桥电容负载的仿真模型(Single-phase controlled rectifier bridge capacitive load of the simulation model)

这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等(Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis)