Introduction-to-Mechatronics-System

用matlab语言对数字图像处理进行了系统的阐述，冈萨雷斯的代表作(Gonalez matlab digital image processing using matlab )

基于分数阶傅里叶变换的脉冲压缩信号的参数估计，包括信号的产生，时域仿真，分数阶傅里叶变换及详细的参数估计过程。 (Pulse compression signal parameter estimation fractional Fourier transform, including signal generation, time-domain simulation, fractional Fourier transform and detailed parameter estimation process.)

说明：  初始值问题的数值求解。利用MATLAB编写RK4计算程序，计算结果准确。可为研究工作提供帮助。(The numerical solution of the initial value problem.)

说明：  基于matlab的多速率信号处理程序，希望对大家有帮助。(Matlab-based multi-rate signal processing procedures, we hope to help.)

BP神经网络的改进应用Improved BP neural network(Improved BP neural network)

给出接收信号眼图及系统仿真误码率，快速扩展随机生成树算法，有PMUSIC 校正前和校正后的比较。( The received signal is given eye and BER simulation systems, Rapid expansion of random spanning tree algorithm, A relatively before correction and after correction PMUSIC.)

hierarchical clustering in matlab

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

Specch Recognition system using MATLAB. It includes Viterbi Forwarding and backtracking Algorithm . First it includes Feature Extraction and then Feature Matching

一维光子晶体的FDTD 分析法MATLAB程序(One-dimensional FDTD analysis of photonic crystals MATLAB program)