efjiwwvm

多用户mimo下行链路预编码及用户调度的博士论文，里面的思想可以借鉴(Multi-user mimo downlink precoding and user scheduling the doctoral thesis, which can draw on the idea)

说明：  关于梯度投影算法的一个简单的例子的matlab源码程序(Gradient projection method matlab source program)

说明：  有限元的四边形剖分程序，可用于有限元求解磁场，电场等问题是的区域划分中(fem use to answer EMT )

自己做的锁频环的实现源码，希望对正在设计锁频环的人有所帮助(Own frequency-locked loop to achieve source, in the hope of people being locked loop design help)

matlab相关的程序，希望对大家有用，谢谢(matlab)

Algorithm to find Depth of Image

EKF_PF 基于扩展kalman的粒子滤波 可解决非线性状态估计问题(EKF_PF based on extended kalman particle filter to address the issue of non-linear state estimation)

说明：  这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用。 (is prepared by the author himself on the Matlab programming language. Genetic Algorithms Optimization applications.)

The program shows animations of solutions of the Rubik s cube.

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.)