GA_toolbox

matlab primer for beginners

基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(The estimated MATLAB program based on the L-shaped array augmented matrix beam D DOA)

基于MATLAB的MFCC特征提取实现, 内含实验音频文件(MATLAB-based MFCC feature extraction, containing experimental audio files)

正在学习MATLAB和仿真的人可以看下，适合新手，内容很详细(Simulation and MATLAB , very detailed content)

Basic MATLAB code for Image Processing

feed forward programing in matlab

永磁同步电机(PMSM)电流转速双闭环PI控制，采用矢量控制（FOC）中的id 0方式，以空间矢量脉宽调制来实现磁链圆跟踪。对负载转矩进行交轴电流前馈以抑制外负载扰动。(Permanent Magnet Synchronous Motor (PMSM) current double closed loop speed PI control, vector control (FOC) of id 0 mode, space vector pulse width modulation to achieve flux circle track. Front axle load torque AC current fed to suppress external load disturbance.)

GAUSSMIX fits a gaussian mixture pdf to a set of data observations

本例子为非线性整数规划的准确求解的有效方法之一。(The example of one of the accurate and effective method of solving nonlinear integer programming coefficients.)

（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)