Color-filter-array-color-reproduction-using-cycle-

一个简单的维纳滤波仿真程序，包括仿真结果，对于了解自适应滤波器的原理有帮助；(A simple Wiener filter simulation program, including the simulation results, the principle for understanding the adaptive filter has helped )

it is a music player. simple music player code that accepts and plays mp3 files also, due to built in codec support

BCH编解码，能显示编译前后的码型变换，成功运行(BCH codecs, can show a pattern transformation compiled before and after successful operation)

说明：  离散信号Gabor展开的理论及实现颇为繁琐。其中包括离散Gabor变换的标架理论、周期序列的离散Gabor变换、非周期序列的离散Gabor变换以及各种快速算法等。此程序给出给出了一个线性调频信号的Gabor变换。(Gabor expansion of discrete signals and the realization of the theory is quite cumbersome. Including discrete Gabor transform frame theory, the periodic sequence of discrete Gabor transform, non-periodic sequence of discrete Gabor transform and a variety of fast algorithms. This procedure gives a linear FM signal is given the Gabor transform.)

hybrid median filter

一个简单的MSMQ应用，将发送一个消息到对别，并从中取回(A simple MSMQ application sends a message to the right of other, and draw back)

说明：  认知无线电频谱，打破僵局：信息理论.本文介绍了认知无线电的频谱检测技术和当前热门的合作检测技术(Cognitive radio spectrum, to break the deadlock: Information Theory. This article describes the spectrum sensing of cognitive radio technology and the cooperation of the current popular detection)

采用L-D算法，估算自回归模型（AR模型）系数。L-D法是一种矩阵递推估计法(LD algorithm to estimate the coefficients of the autoregressive model (AR model). The LD method is a matrix recursive estimation method)

这个程序是杨儒贵研究生教材《高等电磁场理论》中的程序，讲解电磁场后向散射(This procedure is expensive Yang Ru graduate textbook "Advanced Electromagnetic Field Theory" program, to explain electromagnetic backscatter)

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)