gamma

压缩传感L1范数译码源程序，程序简单易懂注释详细，对初学者有很大帮助(L1 norm compressed sensing decoding source code, the program easy to understand comments detailed, very helpful for beginners)

fastlaplace算法 线性最优化问题 最小l1范数(fastlaplace algorithm linear optimization minimum of l1 norm)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

Convert your MATLAB figures into online plotly graphs with a single line of code:

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

Basics in Image processing using MATLAB

practica 1 siso GPC trhee tanks systems

能够实现合成孔径雷达的反向投影成像算法，距离向实现脉冲压缩，方位向实现相干叠加。(It can realize the backprojection imaging algorithm of synthetic aperture radar, realize pulse compression in range direction, and realize coherent superposition in azimuth.)

说明：  用于风功率预测的ARMA代码，可在matlab上运行，包含风电数据。(ARMA code for wind power prediction can be run on matlab, including wind power data)

说明：  基于点的位姿估计，用的是正交迭代算法，国外论文的源代码(Point-based pose estimation, iterative algorithm using the orthogonal)