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说明：  几个基阵信号处理的源程序，供大家参考学习。(array signal processing of the source, for your reference study.)

在相干通信中精确恢复眼图，使用正弦函数作为例子，经过欠采样后，对数据进行FFT变换后在进行精同步(After the restoration of coherent communications precise eye, using a sine function as an example, after subsampling, FFT transform data during fine synchronization)

SPIKE TRAIN COMPRESSION

Differential Evolution for optimal power flow

自己写的matlab上GUI界面，可以读取行情软件导出的txt格式历史数据，并汇出k线和技术指标，可以通过GUI编辑设置、各种指标及其参数。主图附图指标编辑通过编写脚步实现，有例子。 解压后，将work下的dir.mat中的wkdir变量修改成与你放置的目录一致，也可以就将work放置在"d:/matlab/"下. read2mat.m从文本中读取数据，并存在与文本文件同名的.mat格式的文件中。 运行kfigure,加载.mat格式文件就可以画出k线图和指标图。其他功能很多和股票软件差不多，大家自己试就行了。(Matlab GUI interface to write their own, you can read the historical data of market software exported txt format, and Export k lines and technical indicators, you can edit the settings through the GUI, various indicators and their parameters. The the main figure drawings indicators edit achieve by writing the footsteps examples. After decompression, modify the work under dir.mat wkdir variable and you are placed in the same directory, will work placed in the " d :/ matlab /" . Read2mat.m to read data from a text, and exist with a text file of the same name. mat format file. The run kfigure, loading mat format file can draw k chart and indicators Figure. Other features and stock software almost everyone own try line.)

Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, and Nicu Sebe. IEEE Transactions on Multimedia (TMM) 14(4):1021-1030, 2012.

SIMULATION OF INVERTERS

this file content simple example about modulation bit stream.the type of modulation is (FSK,PSK and ask) after modulation data send and received after that show the relationship between signal to noise ratio (snr) and the bit error rate (ber).....

模拟喷泉喷水，模拟出喷出水的过程，以及主视图和俯视图(fountain simulation)

Fisher线性判别是线性分类算法中最基本的一种算法，其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上，再进行分类。本文将用使用matlab实现Fisher线性判别算法，并给出４种阈值选择的方法。(Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.)