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Introduction to Simulink with Engineering Applications.

非常好的偏最小二乘分析的程序，包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归，建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件(Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple linear regression. It can become a non-linear regression, depending on the need to change the code to establish relationships between multiple independent variables and multiple dependent variables very wide application. Program includes the calculation procedures and drawing showing the results of two m files)

（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)

线性系统根轨迹法在matlab环境下的实例与分析应用(Root locus method in linear system matlab environment and analysis of application examples)

PAPR OFDM clipping and filtering

park变换与park反变换，引入三相正弦输入，在模拟示波器端查看波形，能够得到期望的效果(park and Inv_park)

地震属性信息包含了丰富的信息，地震属性种类繁多，程序里包含了四种常用的地震属性(Seismic attribute information contains a wealth of information, a wide range of seismic attributes, the program includes four commonly used in seismic attributes)

SPEECH ENCODING USING ADPCM

这是功率谱估计MVDR算法的实现，代码能仿真成功(This is the power spectrum estimation in MVDR algorithm, the code can be successful simulation)

神经网络BP辨识的Matlab算法，用于辨别复杂的非线性系统(Identification of the Matlab neural network BP algorithm, used to identify the complex nonlinear systems)