colorbalance

script that converts file to binary stream and convolutes it

说明：  此程序能应用于陀螺的allen方差的计算(allen Variance calculations used for gyroscope )

基于kaiser窗的双谱线插值FFT谐波分析，计算一维光子晶体的透射特性和反射特性，未来线路预测,分析误差。( Dual-line interpolation FFT harmonic analysis kaiser windows, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Future line prediction, error analysis.)

Example script to read CF-compliant structured grid NetCDF data into Matlab using the NetCDF-Java libraryI m using "toolsUI.jar" which is advertised as "a nice fat jar file containing everything in a single jar"

说明：  MATLAB 语言的新特性，面向对象编程的入门教材。(New features in MATLAB language, object-oriented programming primer.)

说明：  matlab小波分解，将一幅图片分解为3次小波后再合成(matlab wavelet decomposition, will be a picture and then broken down into 3 wavelet synthesis)

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

说明：  DEAP 数据库 EEG_feature.txt 包含了1216个脑电信号样本的160维特征，每行为一个样本，每列为一种特征。特征从左至右分别是每个脑电电极的theta（1-32列）、slow alpha（33-64列）、alpha（65-96列）、beta（1-97128列）、gamma（129-160列）波段的脑电特征。 subject_video.txt 包含了1216个脑电信号对应的32名被试和38段视频信息，其中包含两列。第一列是对应的被试编号，第二列是对应的视频编号。 EEG_feature.txt 与 subject_video.txt和valence_arousal_label.txt中每行都是一一对应的，例如subject_video.txt的第二行就是EEG_feature.txt中第二个样本（第二行）的被试和视频信息；valence_arousal_label.txt的第二行也是EEG_feature.txt中第二个样本（第二行）的愉悦度和唤醒度标签。valence_arousal_label.txt中第一列为愉悦度标签，1代表positive，2代表negative；第二列为唤醒度标签，1代表high，2代表low。 DEAP数据库并未提供情感类别标签。(EEG dataset, including DEAP database and MAHNOB-HCI database)

最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。这里给出其Matlab源程序。(The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source.)

color image enhancements