GaAs_GaAlAs_QW

LMS predictive 1d matlab code

MATLAB的小波变换在图象压缩中的应用，很适合初学者阅读。(MATLAB Wavelet transform in image compression, it is suitable for beginners to read.)

多种降维方法的一个程序包，包括PCA,ISOMAP, LLED等,GUI，界面直观简单(A variety of dimensionality reduction method package, including PCA, ISOMAP, LLED etc., GUI, simple and intuitive interface)

自己编写的短时傅里叶变换（STFT）程序，短时傅里叶变换可以获得非平稳信号的时频图，主要原理是用滑窗截取一段信号，认为这一段时间内信号是平稳的，对其进行fft变换获得频谱(I have written a short time Fourier transform (STFT) program, short-time Fourier transform can be obtained non-stationary signal frequency diagram, the main principle is the interception of a signal with a sliding window that within this period of time the signal is stationary, access to spectrum fft transform them)

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

杨万海《多传感器数据融合》P44页算法的具体实现，在MATLAB运行(Yang Wanhai" P44" page of multi sensor data fusion algorithm in the concrete realization, in the MATLAB run)

控制工具箱与SIMULINK软件应用：系统对象为G(s)=4/s(s+2) PI补偿器K1(s)=(s+1)/s K2(s)=(s+0.5)/s a 若由K1(s)与 G(s)串联组成的单位反馈系统，称为系统A。 b 若由K1(s) 放置在G(s)的反馈通道称为系统B。 c 若由K2(s)与G(s)串联组成的单位称为系统C，绘制上述每一种情况的阶跃响应与斜坡响应，求每一种情况下的系统阶跃响应误差与斜坡响应误差，并与理论分析结果进行比较。 (Control toolbox and SIMULINK software application: system object for G (s) = 4/s (s+ 2) PI compensator K1 (s) = (s+ 1)/s K2 (s) = (s+ 0.5)/s If a by K1 (s) and G (s) series of feedback system of the unit, known as a system a. B if the K1 (s) placed in G (s) feedback channel called system b. If c by K2 (s) and G (s) series of unit is called system c, draw the above each kind of condition of step response and slope response, for each of these cases system step response error and slope response error, and the results were compared with theoretical analysis.)

wavelet technique is used for fault identification

computation of intensity factors in piezoelectric solids

利用matlab编写的获取单应矩阵的源程序，可用于计算机视觉图像配准等程序中。(Get prepared using matlab homography of the source, can be used for computer vision, image registration and other procedures.)