7879

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)

用MATLAB编写的一个数值分析中，利用拉格朗日和牛顿迭代求解(a way of solving the method of larg and Newton)

说明：  利用MATLAB实现OFDM系统中AWGN信道(using MATLAB OFDM system AWGN)

ksvd图像融合，matlab可以通用的，能够融合多焦点图像(ksvd image fusion, matlab can be generic, multi-focus image fusion can)

将要分析的数据放在C盘的ELI.xls表的Bay表单中，根据数据多少调整读取范围（修改 b2:f16 此句) 结果有两种，一种是按数据计算权值求出的结果，另一种是参考建议值求出的结果。结果写入C盘的ELI表格，范围要手动根据数据多少调整(The data will be analyzed on the C disk ELI.xls Table Bay form, how much to adjust the data read range (change ' b2: f16' sentence) result, there are two, one is calculated according to weight data the results obtained, the other is the result of reference to find the recommended value. Results written to C drive of the ELI forms, the scope of how much to manually adjust the data)

MATLAB函数参考手册，查看matlab函数作用以及功能。( SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more time than SVMLSex01.m Method from Christopher J. C. Burges: "A Tutorial on Support Vector Machines for Pattern Recognition", page 9 Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16) Subject to: sum{ai*yi}=0 ,function (15) and ai>=0 for any i, the particular set of constraints C2 (page 9, line14). The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)

对声音采集显示波纹 以及高斯滤波带通滤波 等等等 (Collection of sound wave and the Gaussian filter shows band-pass filter and so on and so on)

对图像进行预处理，然后进行经典的阈值分割，形态学分割以及种子区域生长。(Preprocess the image, and then the classic threshold segmentation, morphological segmentation as well as seed region growing.)

mark_minutia for fingerprint

MATLAB，传输矩阵法，仿真相移光纤光栅反射谱，可以随意改变相移位置和相移大小(MATLAB，Phase-shifted fiber grating)