vsg

合成孔径.ppt,合成孔径雷达.ppt,脉冲压缩雷达.ppt,目标分辨与模糊.ppt(Synthetic aperture. Ppt, synthetic aperture radar. Ppt, pulse compression radar. Ppt, objectives and fuzzy to tell. Ppt)

《自适应滤波器》第五章代码，很详细，值得推荐(Chapter adaptive filter code, very detailed)

产生随机信号并通过低通滤波器 计算其统计参数Any changes made cards can be good results(Random signal generated by low-pass filter to calculate the statistical parameters)

使用了核技巧的费舍尔判别法应用程序，有效提高费舍尔效果。(Use of nuclear techniques application Fisher Criterion, effectively improve the Fisher effect.)

运用奇异值分解，离散傅里叶变换的水印算法，完整程序(wartermarking algorithm)

这个代码是用matlab编写的m２hd算法的实现(this code is used in the preparation of Matlab algorithms achieve m2hd)

Project SmartGREEN Control 1.2a Main Program [Arduino]

MIT course- Introduction to Matlab

一位意大利博士编写的关于online SVR的工具箱，对我启发很大。附加了Powell法优化工具(a matlab toolbox about online SVR and Powell)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)