JM97B

该程序用以对m序列码的调制在负dB情况下解调的仿真，是对基带信号的调制(procedures for the right sequence code m in the negative dB modulation of the demodulation simulation of the base band signal modulation)

c++ and matlab 散射电流可视化、球体1 (Scattering current visualization, sphere1 c++ and matlab )

该程序完成Matlab对音频信号的带通处理，可以将带通前后的频谱图相对比，和播放音乐变化。(The program completed Matlab band-pass processing of the audio signal, may be band-pass around the spectrum diagram relative ratio, and playback music changes.)

Lattice reduction mimo detection

数字助听器回声消除采用自适应回声消除算法。NLMS算法的得到了很大的应用，matlab仿真程序，很有用(Digital hearing aids in the NLMS echo cancellation algorithm MATLAB simulation program, oh well )

matlab中文手册，很实用，很全面，适合初学者(matlab Chinese Manual, very practical, very comprehensive, suitable for beginners)

介绍了如何通过matlab仿真软件进行电力系统仿真分析(Describes how matlab simulation software for power system simulation and analysis)

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)

matlab 编写的源程序交互多模算法，用于目标多机动蒙特卡罗法仿真跟踪滤波器 本人十分关注 机动目标。这个是利用交互多模算法，用于目标多机动假设运动情况下的蒙特卡罗法仿真跟踪滤波器。matlab 编写的源程序。 但是有一点小错误，如果您能修改，不胜感激。(matlab source code prepared by the interactive multi-mode algorithm, used to target many motor simulation Monte Carlo method I am very concerned about tracking filter for maneuvering target. This is the use of interactive multi-mode algorithm, used to target many of motor sport where the assumption of the Monte Carlo method simulation tracking filter. matlab source code prepared. But there is a small error, if you can modify, greatly appreciated.)

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)