ART_test

说明：  压缩感知稀疏恢复中使用的OMP算法，matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

完成了对光伏发电并网控制的设计及仿真。系统采用了两级式拓扑结构：前级用直流变换器进行最大功率跟踪及直流母线电压调整；后级用逆变器将直流电能逆变送入电网。(Completed the design and simulation of photovoltaic grid-connected control. The system adopts a two-stage topology: the front stage uses a DC converter for maximum power tracking and DC bus voltage adjustment; the latter stage uses an inverter to send DC power into the grid.)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

本代码双密度双树复小波的实现，对图像去噪图像压缩起了很好的作用，很不错的源码(The double-density dual tree complex wavelet code implementation of image compression for image denoising very good effects, it is a good source)

舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理(Image processing image processing tongue tongue tongue tongue image processing image processing image processing tongue tongue image processing)

自己编写的关于2013年的文章 a variational method for multi-source remote-sensing image fusion 的程序，基本实现了相关功能。(I have written a progrma about a variational method for multi-source remote-sensing image fusion publish in 2013,and the basic functions of the problems have been solved.)

zernike不变矩。特征提取方法。基于形状的特征提取方法。(zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

归一化鬼成像计算方法，比传统鬼成像算法更快更好(Normalized ghost imaging calculation method, faster and better than traditional ghost imaging algorithm)