POWER_C

使用直接模拟蒙特卡罗法的Matlab编程，里面三个算例，如湖面积、资产路径等的概率求解法～(Vincent Leclercq, The MathWorks, 2007 vincent.leclercq@mathworks.fr Ths is the set of files (with the powerpoint presentation, in french or in english) used for the Webinar "Simulation de Monte Carlo en MATLAB". - The first demo (LakeArea, run MainLakeArea) is computing the size of a polyogon using a MC approach - The second demo (PortSim, run WebinarScript) can do 2 things: First, we genrate some equity paths, to verify the lognormality If changing the mode to OptionPricing (uncomment one of the first line), then those spaths will be used for pricing an asian option - the 3rd Demo,in myMC (run MonteCarlo.m) , show how to simulate some corelated asset paths - The 4th demo, (run VanillaPricingUsingDifferentMethods.m in the VarReduction folder) , wil compare th results obtrtain byt differents reduction of Variance technics or "quasi" 礛ont Carlo simultion using Hamlton and sobol Sequences)

本程序为RLS算法在IIR结构形式的滤波器上的应用。(procedures for the RLS algorithm in the form of the IIR filter structure of the application.)

加入路面激励模型的磁流变减震器伪静力学模型的simulink程序(the simulink proceducer of MR damper s non-force mode of inputting road mode )

这是我们组参加2008年全国大学生数学建模时A题(数码相机定位)所用到得程序，我们最终获得了全国一等奖的好成绩哦！(This is our group in 2008, when the national college mathematical modeling A digital camera positioning problem (use), we finally have program won the national first good result!)

DBPSK transreceiver design model using simulink

Program for get Product Version in GunBound WC Get Production Version for change and viewer

基于NOMA的功率分配，采用树形算法，根据不同用户的信噪比大小，一定的约束关系，分配功率(NOMA power allocation based on the use of tree algorithm, depending on the size of the user' s SNR, certain constraints, power distribution)

说明：  对于一个存储了五门课成绩的txt文本，进行数据读取、数据分离、画出变化曲线。(For a TXT text that stores the scores of five courses, data reading, data separation and drawing change curve are carried out)

在matlab中利用遗传算法实现函数优化(In the use of matlab genetic algorithm function optimization)

对于彩色图像，用直方图的方法去掉雾，使得图像清晰(For color images, using the histogram method to remove fog, making the image clear)