chuanre

本代码是matlab编写的程序集合，是学习matlab图像处理的利器。包括图像边缘检测、图像阈值分割等等。(This code is a set of programs written in matlab, learning matlab image processing tool. Including edge detection, image threshold segmentation and so on.)

这是一个多彩文字显示的系统模块源码GPCXX，分享给同学们学习参考(This is a colorful text display system module source code DCWZXSMK, share to the students to learn reference)

最小均方误差均衡器，误码率和信噪比的关系曲线(Minimum mean square error equalizer, the relationship between BER and SNR curve)

i upload a matlab code which can calculate density of atmosphere and temperature in altitude of over 100 km

基于matlab,利用AMDF方法检测语音的基音周期(Based on matlab, the use of methods AMDF Pitch Detection of Speech)

Matlab6.5符号运算及应用，分析了Matlab符号运算及绘图功能，并提供了大量的实例(Matalab 6.5 symbolic operation and the application of Matlab symbolic computation and graphics functions, and provide a large number of examples)

对声音信号进行各种处理实现了声音的均衡等功能(The audio signal processing to achieve various functions of the sound equalization)

收集的一些CCP协议汽车标定相关的资料，希望能对从事这方面开发的朋友有些须帮助(Collection of some of the CCP protocol auto calibration of the relevant information, hoping to develop in this field to help some friends)

基于matlab编写，是一段生成word文档的小程序，文档中有一个表格，希望对大家编写输出数据程序有帮助(Matlab-based development, is a word document to generate a small program, a form document, prepared for all of us hope that the process output data to help)

（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)