lagre

hybrid median filter

solving TSP problem with SA

对回转支承信号的处理，对时域内特征值得提取和主成分分析，计算第一主成分(For slewing ring signal processing, time domain feature extraction and principal component analysis is worth calculating the first principal component)

利用qscat资料绘制风场程序；利用ssta数据计算并绘制黑潮温度指数ki图程序；绘制叶绿素场分布图程序(Using qscat data to draw a wind farm program using ssta data to calculate and draw the Kuroshio temperature index ki Figure procedures drawn maps of chlorophyll field procedures)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

这是高压变频的matlab仿真模型，可以用的，大家可作参考。欢迎下载。(This is the matlab simulation model of high voltage frequency conversion, can use, you can reference. Welcome to download. )

一种主干道、支道交通模型的图形仿真，模仿了各个车辆的真实行驶状况(A main road, the the branch road traffic model graphics simulation mimic real driving conditions for each vehicle)

小波包分析提取振动信号中的特征频率，采用累计贡献率的方法，相关分析过程的matlab方法。( Wavelet packet analysis to extract vibration signal characteristic frequency, The method of cumulative contribution rate Correlation analysis process matlab method.)

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

it is for designing filter