卡尔曼滤波器的应用

program on image processing based on MATLAB for biometric recognition

Finger region localisation

NEGF method to calculate the resonant tunnelling diode

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.)

应用背景在数值线性代数，–的高斯赛德尔法，也称为李普曼法或逐次位移法，用于求解线性方程组的迭代法。它被命名后，德国数学家弗里德里希和菲利普路德维希高斯赛德尔，和类似于雅可比的方法。虽然它可以应用于任何矩阵非零元素的对角线，收敛只保证如果矩阵是对角占优，或对称正定。这是只有1823的高斯他的学生去找一个私人信中提到。一个出版的是未交付之前1874通过赛德尔。关键技术gauss_seidel（A，B，N）解决一个线性方程组的迭代其中一个是系数矩阵，B是右端柱向量。n是迭代的最大次数。实现的方法是高斯赛德尔迭代的起始向量。是零向量，但可以调整自己的需要。迭代形式是基于高斯赛德尔过渡/迭代矩阵的Tg = inv（DL）×U和常数向量CG = inv（DL）* B.输出解向量x。

应用matlab/simulink 对汽车自动离合器进行控制仿真-applying the matlab/simulink to simulate the automated clutch of vehicle

quiver plot in matlab

一维有限深量子阱数值模拟，量子力学，光电子学作业。(A one-dimensional finite deep quantum well numerical simulation, quantum mechanics, optoelectronics homework.)

this is a sample for GUI in matlab.

it is a matlab program, which can do zoom fft