Aerodynamics-1-FULL-Notes

用matlab编的科斯塔斯环，希望有帮助(Costas loop using matlab helpful)

经修改的SSIM代码，在MATLAB环境下运行。不能使用JPG格式的图片。(SSIM revised code, run in the MATLAB environment. You can not use JPG format images.)

实现信号的小波分解和重构，其中小波分解是三层小波分解(Realization of wavelet decomposition and reconstruction of signals)

说明：  matlab的一些画图程序，用于数据处理，希望对大家有帮助(matlab drawn )

入色偏角为0.5°太阳光聚焦程序设计，方便大家学习于应用。(Into color declination 0.5 ° sunlight focused program designed to facilitate learning in the application.)

用自适应的方法对传统DNA算法的几个操作概率进行动态赋值，从而达到改进的效果(Dynamic assignment of several operating probability of traditional DNA algorithm using an adaptive method to achieve improved results)

两独立通道之间EEG信号的相干性或协同性的matlab实现(EEG-Signal Kohä renz oder synergistische matlab zwischen den zwei unabhä ngigen Kanä len erreichen)

基于matalb/simulink的模糊PID控制仿真。波形良好。 包括常规PID控制与模糊PID的对比仿真，以及加入延时的系统仿真和加入干扰后的系统仿真，均已经过调试，波形结果很好。 大家可直接用于借鉴学习。(Fuzzy PID control simulation based on matalb/simulink. Good waveform. Including the conventional PID control and fuzzy PID contrast simulation, and adding delay system simulation and adding interference after the system simulation, have been debugging, waveform results are very good. We can learn from them directly.)

This function is used by the Piecewise Linear Rayleigh Ritz

（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)