GAOT

（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)

MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as a representative. The input formats accepted are: dta, mgf, mzXML. The output format is mgf.

procedure un matlab to plot Tanner graph, it´ s not useful to wide matrices, can´ t view de edges of de graph

矢量化编程技巧,基本的一些调试技巧，适合于初学者，非常有用(failed to translate)

牛顿环动画演示Matlab源代码牛顿环动画演示Matlab源代码(Newton Central Matlab source code Animation Central Animation Newton Matlab source code)

在Vc中调用Matlab源文件的调试程序！(in Vc Calling Matlab source debugging procedures!)

说明：  基于神经网络的传感器建模仿真和传感器动态补偿方法(Sensors based on neural network modeling and simulation, and dynamic compensation method)

快速傅里叶变换实用程序，使用matlab内置函数库(Fast Fourier Transformation)

QMF滤波器在语音编码中的应用,通过matlab 实验程序设计和实现二通道镜像滤波器(QMF、CQF、OQF)在语音编码中的应用，针对不同的滤波器阶数，采用批量算法，实现和比较波形编码的效率和精度(qmf filter use in wave)

利用VC++6.0集成编程界面编写综合运用MAT数据文件和MATLAB引擎技术的（求矩阵的奇异值）C++源码程序。本程序说明了：1.如何利用VC++6.0集成编程界面编写源码程序；2.编译链接产生EXE文件所需的间夹文件。注意：要将压缩包内除matlabyinqingwithc++.cpp的所有文件都要拷贝到matlabyinqingwithc++.cpp的“任务文件夹下”。(Use VC++ 6.0 integrated programming interface MAT preparation of comprehensive use of data files and MATLAB engine technology (the singular value matrix) C++ Source procedures. This procedure describes: 1. How to use VC++ 6.0 integrated programming interface to prepare source procedures 2. Compiler generated EXE file the necessary link between the document folder. NOTE: In addition to compression packages matlabyinqingwithc++. Cpp must copy all the files to matlabyinqingwithc++. Cpp s mission folder. )