denoiseTV_L1OR2

災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況(disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash)

各类B样条matlab仿真程序，编译通过都可以运行(B line matalb)

这些都是matlab有关图像处理的语句，很基本的。(These are related to image processing matlab statement, very basic.)

wavelet based image fusion using adaptive decomposition

Code to handle secondary CPU bringup and hotplug for the cluster power API.

信道仿真的很好程序，可以实现不同参数情况下的信道仿真，比如超宽带系统的室内多径环境信道仿真(channel simulation is a good procedure, can be achieved under different parameters of the channel simulation. For example, UWB system indoor multi-path channel simulation environment)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

用MATLAB实现 泊松分布随机数的产生和皮尔逊检验(Poisson distributed random number generation and Pearson test)

随机序列产生程序,白噪声产生程序,M序列产生程序,二阶系统一次性完成最小二乘辨识程序,实际压力系统的最小二乘辨识程序,递推的最小二乘辨识程序,增广的最小二乘辨识程序(random sequence generation process, white noise procedures for selecting the M series, Second-order system to complete a one-time least-squares identification procedures, the actual pressure on the least squares system identification procedures, recursive least squares identification procedures and increase the least squares identification procedures)

In this document has been introduced comprehensively how to solve different partial differential equations .Everbody can solve Heat Conduction Equation, Helmholtz Equation, Laplace Equation and Wave Equation for different initial and boundary conditions. This document is elemantary of to understand how to solve partial differential equations with the aid of a porgramming language.