uu_la_audio_wm2001

使用matlab里面的simulink仿真OFDM系统搭建的结构图(matlab)

已知一个LTI系统的差分方程为： y[n]-1.143*y[n-1]+0.4128*y[n-2]=0.0675*x[n]+0.1349*x[n-1]+0.0675*x[n-2] 初始条件y(-1)=1,y(-2)=2，输入x(n)=u(n)，计算系统的零输入响应 (known LTI system of a differential equation : y [n]-1.143* y [n-1] 0.4128* y [n-2] x = 0.0675* 0.1349 [n]* x [n-1] 0.0675* x [n-2] initial conditions y (1) = 1, y (2) = 2, input x (n) = u (n), we calculate the zero input response)

混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法(Prediction is a kind of dynamic filtering, in which past values of one or more time series are used to predict future values. Dynamic neural networks, which include tapped delay lines are used for nonlinear filtering and prediction.)

matlab code to convert rgb to yuv

基于matlab的粒子滤波目标跟踪算法2，对于初学者很有用(Matlab-based particle filter tracking algorithm 2, very useful for beginners)

坐标系转变，通过运行，很好的代码，哈哈哈(Coordinate system transformation, by running, a good code)

本文件是关于机组分配在程序，适用于机组组合。(this file is about the power system generator distribution.)

遗传算法（Genetic Algorithm）matlab工具箱，内含很多matlab例程，对于学习遗传算法很有帮助。(Genetic Algorithm (Genetic Algorithm) matlab toolbox, containing many matlab routines, useful for learning genetic algorithm.)

NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好(classification, NWFE:Nonparametric Weighted Feature Extraction for Classification)

系统采用的是直接标定摄像机内部参数的算法，算法借助于标定参照物直接计算摄像机的内参数。整个系统是在VC++环境下设 计并实现的，并借助了IPL和OpenCV的帮助，只要输入标定物的图像，系统就可以迅速而又准确地输出摄像机内参数的结果。通过3D 重构实验证明了该系统的有效性。相对于MATLAB实现方式，该系统使用更加方便、快捷。 (System are directly used in the internal parameters of the camera calibration algorithm, calibration algorithm by means of direct calculation of reference within the parameters of the camera. The entire system is in VC++ environment to design and implementation, and with the help of IPL and OpenCV, as long as the input image calibration objects, the system can be output quickly and accurately the results of camera intrinsic parameters. Through the 3D reconstruction of the experiment proved the effectiveness of the system. MATLAB implementation vis-à-vis the way the system more convenient to use, fast.)