AFDfunction

在MATLAB环境下，P0309运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理(In the MATLAB environment, P0309 use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

学习自动控制的基本知识，很适合初学者使用，通俗易懂(Learning the basics of automatic control, it is suitable for beginners to use, easy to understand)

旋转机械二维全息谱计算的实用例程，融合多点信息，提高诊断可靠性。(A good example of two dimension Holographic spectrum calculation of rotational machine，fuse the information of different points to improve the reliability of diagnosis.)

BPSK modulation in Rayleigh channel

用虚拟机COM方式很慢.试试用这个吧,这个据说能提高十几倍哟.里面的read.txt文件我在VMWare中安装做了一下简要的中文说明. irpfind produces ~450KB/s traffic on VirtualBox and ~150KB/s on VMWare, significantly outperforming standard ~10KB/s COM Port(COM way using virtual machine is slow. Try it with this, this is said to increase more than tenfold yo. Read.txt document inside VMWare installed, I have done a brief description of the Chinese. Irpfind produces ~ 450KB/s traffic on VirtualBox and ~ 150KB/s on VMWare, significantly outperforming standard ~ 10KB/s COM Port)

这是一个支持向量机回归的模拟程序，可以对较少的样本进行处理(This is a support vector machine regression simulation program, fewer samples can be processed)

anfis subclustering with matlab

人工免疫系统的工具箱，在matlab中使用(Artificial Immune System Toolbox, in the use of matlab)

MATLAB程序之数值微分经典算法源码MATLAB program of the source numerical differential classical algorithm(MATLAB program for numerical differential classical algorithm source MATLAB program of the source numerical differential classical algorithm)

（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)