case10

支持向量机的演示代码。仿真效果支持向量分类的较好。(SVM demo code. Simulation results support vector classification better.)

本文件中包括蓝屏技术，将object植入图像中，图像连接。内部附有操作说明。是作业最终版本，所以绝对能用。而且代码可读性很强。(This document includes a blue screen technology, the object implanted in the image, the image connection. With internal instructions. Is the final version of the job, so it is absolutely can. And the code readable.)

说明：  可以用于训练数据得到HMM的三大参数A,B,Pi矩阵(Can be used to train data to get the three parameters A, B, Pi matrix of HMM)

matlab qpsk sample file

一篇很好的文章，建议大家看看,基于反馈的图像检索算法优化(a good paper worth to read)

using gall function for measure the algorithm

多用户MIMO预编码技术：块对角化BD，分别采用SVD技术，最大似然检测，最小均方误差检测的误码率性能仿真代码。里面有代码，仿真图等。(Multi-user MIMO precoding techniques: block diagonalization BD, respectively, using the SVD technique, maximum likelihood detection, the minimum mean square error detection BER performance simulation code. There are code, simulation maps.)

欧洲中心ERA-interim再分析资料处理(ECMWF ERA-interim reanalyse data )

小球的抛物线轨迹。将轨迹分解成x坐标和y坐标，计算出每一个时刻的x和y值，然后对x和y进行成像就可以得到轨迹了(Parabolic trajectory of the ball. The track is decomposed into x and y coordinates, x and y values calculated each time, then x and y can be imaged on a trajectory)

基于matlab s-function的SVPWM(空间矢量调制)实现。(Based matlab s-function of SVPWM (Space Vector Modulation) implementation.)