chapter2-vectorization

一个matlab实现骨骼识别运算的好程序 已经生成了。cpp文件，可以在C++环境下无改动调用(A matlab computing to achieve a good bone identification procedures have been generated. cpp file, you can C++ environment, no change is called)

灰度图像阈值分割，用二维otsu方法实现的matlab程序(Gray image threshold segmentation, using two-dimensional Otsu method of matlab program)

park等常用的一些建模时需要的变换公式，对电气类工程人员很有用(park and other common modeling some transformation formulas needed for electrical engineers useful class)

随机调制信号下的模拟ppm，在matlab环境中自动识别连通区域的大小,课程设计时编写的matlab程序代码，是机器学习的例程，进行波形数据分析,用MATLAB实现动态聚类或迭代自组织数据分析，包括随机梯度算法，相对梯度算法。( Random ppm modulated analog signal under Automatic identification in the matlab environment the size of the connected area, Course designed to prepare the matlab program code, Machine learning routines, Waveform data analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including stochastic gradient algorithm, the relative gradient algorithm.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写的数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, the data and the graph which oneself compiles independently, the study is very worthwhile.)

This matlab code has a PCM siystem

说明：  eof 分解 基于Matlab软件进行EOF分解、回归趋势分析，并给出ctl文件(from ahualian s blog)

宽带波达方向估计的matlab仿真程序，使用tct算法求聚焦矩阵然后由music算法估计。(Broadband DOA estimation matlab simulation program, using tct algorithm seeking focusing matrix estimation algorithm is then music.)

（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)

计算两个区域的相关系数的平均值 速度比直接用regress函数 快很多很多(calculate the mean correlation coefficient of two areas)