l1regularization

这里以橘子和苹果为例，基于拉普拉斯金字塔变换的图像融合(Here to oranges and apples Case，Based image fusion Laplace transform pyramid)

说明：  关于matlab与digital signal的几个源程序。具体内容请自己下载看！(on Matlab and several digital signal source. Specific details please download Look!)

说明：  matlab语言中画箭头的例子，通过修改可以画各种形状的箭头。(arrow plot in matlab)

this sources code good for study for aplication for 3 G

IET Radar, Sonar & Navigation Series 雷达杂波建模 Weibull 分布(IET Radar, Sonar & Navigation Series Radar Clutter Modeling Weibull distribution)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

组合需要读取的图像文件直接路径和间接路径，读取jpg图像，并计算压缩图像和无压缩图像的均方值和LMSE(Combination needs to read the image files of the direct path and indirect path, to read the jpg image, and calculate the mean square value of compressed images and uncompressed images and LMSE)

建立了一个空间固定曲率和挠率的三维血管模型，并绘制出三维的图像(Created a space for fixed three-dimensional curvature and torsion vessel model, and draws three-dimensional images)

rangkuman power system analysis

采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)