ypt

说明：  卷积编码程序。用matlab编写，希望对大家有用。(Convolutional coding and decoding process. Prepared using matlab, we want to be useful.)

Boost程序库完全开发指南,学习boost的必备，初学者最好看一看(Boost library fully developed guidelines, learning the necessary boost, take a look at the beginner)

ksvd字典学习算法和改进的ksvd字典学习算法，并自动计算psnr。(ksvd dictionary learning algorithm and improved ksvd dictionary learning algorithm and automatically calculates psnr.)

说明：  MATLAB的中文帮助文档，让那些不愿意看英文的朋友们，简单明了的学习MATLAB(MATLAB help documentation in Chinese, English, for those who do not want to see friends, to learn simple MATLAB)

说明：  运用粒子群算法进行优化问题分析，程序中以Giewank函数为测试对象，效果不错。(using PSO to conduct optimization, the effect is good based on Giewank function.)

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.)

这是关于fastkica的源程序，拥有比pca更好的功能，更快的提取独立主元，进行分析。(This is the source on fastkica has the better features than the pca faster extraction of independent analyzed.)

几篇关于压缩感知的文章，信号为语音信号，对初学者有帮助。(failed to translate)

个时频原子的模糊函数及理想时频分布；三个时频原子的理想时频分布 (In time-frequency atom ambiguity function and the ideal time-frequency distribution three time-frequency atom ideal time-frequency distribution)

本程序采用粒子群算法进行计算，粒子群具有速度快的特点。(This procedure is calculated using the particle swarm optimization, PSO has the characteristics of speed.)