Exe-input-parameter

所有matlab的基本编程，我们实验课用来入门的！有注解，方便大家阅读(All the basic matlab programming, we used experimental class entry! Annotated, we facilitate reading)

本源码基于MATLAB R2010b基础上，通过GUI架构的支持下，设计了基于暗通道先验法对有雾图像的去雾系统。(The source code based on MATLAB R2010b basis, through support GUI architecture, the design method based on a priori dark passage foggy image defogging system.)

采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造(KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary construction in voice, image signal processing )

此为matlab的代码。包括数值o45算法及o23算法(This is the matlab code. Including numerical o45 and o23 algorithm algorithm)

Kalman Filter : Simple simulink example

数字信号处理及其MATLAB实现。相关方向学生学习理论及仿真实现的必备书籍。(digital signal processing and MATLAB. Related to the direction of student learning theory and simulation of the essential books.)

CFD simulation of velocity in y-direction

本段程序是在基于matlab开发环境下来进行语音信号滤波器的设计。实用性非常好。(The voice signal segment program is based filter design matlab development environment down. Practicality is very good.)

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.)

本代码包含M序列和GOLDEN序列的生成，以及基于MMSE的自适应多用户(This code contains the M sequence and GOLDEN sequence generation, as well as the MMSE-based adaptive multi-user)