tuxiangjibencaozuo

频带方差端点检测的matlab源程序，可以看看，觉得还可以。(Band variance of endpoint detection matlab source code, you can see that also.)

thiscodeisfortransmiiter

主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等(Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based learning materials such as edge detection, wavelet transform, gray scale value conversion wait)

（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)

说明：  对图像进行DWT变换后的图形结果，如上传所示！(DWT transform the image of the graphical results, as shown upload!)

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说明：  fastICA的源程序，希望喜欢的下载交流 (err)

UPDATED CODE FOR SEGMENTATION FOR ULTRASOUND IMAGES

一套很好的Matlab学习教程，值得一看~~~(A good Matlab Tutorial)

project it was fine to understand pleaase see it