programas2011sistlinogata

研究有限矩形区域内，粒子运动到区域边界时会与区域边界发生不同作用（弹性碰撞和吸收两种可能的情况）下的布朗运动。(Finite rectangular region of the particle motion to the regional boundaries will occur with the different roles of the regional boundary (elastic collision and absorption of two possible scenarios), the Brownian motion.)

VQ在语音识别中的应用，选取十个语音，分别进行训练和测试，实验效果不错，值得学习(VQ in speech recognition, the application of selected ten voice, for training and testing respectively, the experimental effect is good, is worth learning)

three phase induction motor

Hilbert-Huang变换之EMD分解程序。可以直接运行，以及附有几个详细例子。可以用以对非线性非平稳信号的处理，效果理想。(Hilbert-Huang transform EMD decomposition process. Can be run directly, as well as with several detailed examples. Can be used for non-linear non-stationary signal processing, the results are satisfactory.)

牛顿插值函数：自己编写的牛顿插值函数，matlab里面不自带(Newton interpolation function)

matlab code for Newton-Raphson solver

椭圆形方程的五点差分方法，内涵求解方程的迭代程序包括雅克比迭代和高斯迭代(Five-point difference method for elliptic equation. Iterative procedures for solving the equation include Jacobian iteration and Gauss iteration.)

说明：  复杂网络研究与建模 总起来说这是一个关于矩阵的运算，用到了c语言里面的东西，实现一个矩阵的逆运算和矩阵的转置等，最终实现的是一个初始节点为4个节点的有向图，随即扩展为一个10000*10000的巨型矩阵，得到该有向图的图形， 与计算机图形学类似，该程序是在构建了一个算法后，用MATLAB实现了一个无标度网络的图形中的各个节点的概率密度，并根据各个节点的概率密度绘出该图 (将中文译成英语 And modeling complex networks Collectively this is a computation on the matrix, use the stuff inside c language to realize the inverse of a matrix and a matrix, etc., and ultimately is an initial node to four nodes directed graph, then Expands to a huge matrix 10000* 10000, by the digraphs graphics, And similar computer graphics, the program is built upon an algorithm, using MATLAB to achieve a scale-free network each node in the graph the probability density and probability density according to each node in the graph drawn )

We model the hunt as a game of three explicit stages: the stalk, the attack, and the subdual. We implemented this model in Matlab to simulate a velociraptor hunting a thescelosaurus and an African lion hunting a gazelle.

Input: x: input image ru, rd: amount of extension, up and down, for rows cl, cr: amount of extension, left and rigth, for column extmod: extension mode. The valid modes are:主要用于图象处理和模式识别( Input: x: input image ru, rd: amount of extension, up and down, for rows cl, cr: amount of extension, left and rigth, for column extmod: extension mode. The valid modes are:)