101259360watermark(matlab)

控制系统计算机辅助设计——MATLAB语言与应用，是一本不错的书，这是书中的源程序(Control System Computer Aided Design- MATLAB language and applications, is a good book, this is the book s source code)

MATLAB implementation of 4 different diffusion filtering algorithms. Better performance to remove noise than conventional low-pass filtering.

VanderPoll oscilator simulation

编写一个含QAM传输的发送和接收模块 1)分别采用复基带仿真和实带通仿真两种形式 a) 实带通仿真时, 载波频率为符号率的4倍 b)发端采用滚降系数0.5的根号升余弦滤波器 2)画出Eb/N0=15dB时的接收波形(收滤波前),取100个采样 3)画出发端输出的眼图和收端过匹配滤波后的眼图(画眼图时不加噪声) 统计误符号率和误比特率与Eb/N0的关系,画出曲线, 与理论计算的曲线相对比 (Prepare to send of one with QAM transmission and receiver module 1), respectively, the complex baseband simulation and the real band-pass simulation in two forms a) the real band-pass simulation, the carrier frequency used for the symbol rate of 4 times b) the originator roll-off factor of 0.5 root raised cosine filter, 2) draw Eb/N0 = 15dB when the received waveform (closing filter), take 100 samples) to draw the originator of the output eye diagram and income side of the eye diagram after the matched filter ( draw the eye diagram without noise) statistics symbol error rate and bit error rate and Eb/N0, draw a curve calculated with the theoretical curve compared)

线性调频信号的部分功能 线性调频信号的部分功能(range_migration range_migration)

通过matlab代码，PLS部分最小二乘工具箱,可以广泛的应用于数据预测及数据分析。( By matlab code, PLS PLS toolbox, Can be widely used in data analysis and forecast data.)

这个是关于车牌识别方面的源代码，是一种基于灰度定位的。(This is on the license plate recognition source code, is based on the gray level positioning.)

pca算法的matlab实现。希望大家看看，有所帮助吧。(Face recognition program simple, can be used as a beginner, learn.Face recognition program simple, can be used as a beginner, learn.)

文件最前面标有svpwm的表示该文件：三相电源先通过二极管整流，在用IGBT以svpwm方式三相逆变，驱动电机运转。 其他的都是simulink中对一些常用模块的功能进行比较简单的练习(File front marked with svpwm representation of the file: the first three-phase power rectifier diode, IGBT svpwm three-phase inverter drive motor running. Simple exercises are simulink some commonly used module functions)

最小二乘优化算法。Matlab源码，直接可以使用。(Least Squares optimal affine subspace The zip includes: (1) lsqAffineSpace: a low level routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some options for discarding outliers. (2) lsqPlane and lsqLine: lsqAffineSpace wrappers, that compute optimal line and hyperplane (plane, if the samples are 3-vectors) of the input samples. (3) lsqAffineTestScript: demonstrating usage of the functions.)