PHD_paper_VANU

用于对USPS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。 (USPS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifiers, pattern recognition part of the operating code.)

经典窄带信号含有两个干扰源，最后绘制方向图(Classic narrowband signal contains two sources of interference, the pattern drawn last)

wcama rake接收机的matlab仿真。可以作为项目设计的参考matlab代码(wcama rake receiver matlab simulation. Reference matlab code can be designed as a project)

Learn Kalman Filter( Kalman Filter)

求解线性方程组的M步Gmres算法的Matlab算例(Solving linear equations M-step algorithm Matlab examples Gmres)

最优化方法的matlab实现，详细介绍所用到的matlab函数(Matlab optimization methods to achieve, detailing the use of matlab function)

以pn码为信源，通过定时同步和载波恢复。在收端得到正确的信息。(Pn in the source code for the letter, through the timing synchronization and carrier recovery. Client in the admission to be correct information.)

Cognitive Radio Comlete book

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.

二维交错网格纵横波分离的弹性波正演模拟 matlab仿真(Two-dimensional staggered grid of p-wave elastic wave forward modeling of the separation of the matlab simulation)