FP

本代码是我自己写的，可以实现自适应算法权值估计(The code I wrote it myself, you can realize adaptive algorithm weights estimated)

code for differential evolution for function optimization

三个程序,分别以四阶龙格库塔法和欧拉法解洛伦兹方程,并绘制相图,时间演化图,庞加莱截面图.(Three procedures, respectively, fourth-order Runge-Kutta method and Euler method for solving the Lorentz equation and draw the phase diagram, the time evolution of the map, Poincare section.)

关于数字信号处理的几篇PPT文档(IIR/FIR滤波器设计等)，适合数字信号处理入门学习(Digital signal processing on several PPT files (IIR/FIR filter design, etc.), suitable for digital signal processing Introduction to learning)

这是一种十分常见的简单的MINO阐述的新方法的MATLB代码，基于这种方法可以极大的减少误码率和码间干扰。(This is a Matlab code of a very popular and simple transmit method based on MINO system. By using it, the BER can be greatly redused.)

在matlab开发环境下实现m-shift图像目标跟踪算法，其中还有一篇比较好的参照论文(Development environment in the matlab m-shift image to achieve target tracking algorithm, of which there are a good reference paper)

Simulate the Element Selection Logic for a quadrature differential DAC.

The QSystemSemaphore class provides a general counting system semaphore for Linux.

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)

说明：  一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高(An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved)