DDE_tutorial

实现一些数学函数功能，比如求对角阵、单位阵的，(Implement some mathematical functions ，such as o diagonal matrix, unit array, )

《精通matlab 5.0》对应源程序。(" Proficient in matlab 5.0" corresponds to the source.)

A dpcm with 10th order linear predictor with different quantization levels

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.

车辆工程平顺性方面的1/3倍中心频率的有关程序，我自己用的。大家可能要改一下。()

说明：  用matlab通过libiio实现对AD9361的控制，主要利用matlab的系统对象功能实现(AD9361 is controlled by MATLAB through libiio. The system object function of MATLAB is used to realize the control.)

此文件包含跳频信号的生成和脉冲干扰信号的生成，可以结合二者产生跳频脉冲信号(This file contains the frequency hopping signal generation and pulse interference signal generation, you can combine the two to produce a frequency-hopping pulse signal)

对信号进行频谱分析及滤波，欢迎大家下载学习，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( The signal spectral analysis and filtering, Welcome to download the study, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)

基于Matlab_Simulink的开关磁阻电机调速系统的仿真研究(Switched Reluctance Motor Based Matlab_Simulink Simulation of Speed Control System)

This is a reference implementation for the synthetic experiments on lower linear envelope inference and learning described in "Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields", Stephen Gould, ICML 2011.