QPSK_Gardner

this code for guss method

这是一个的10Mb文件 这是演示版本的SIGTOOL软件包。 它没有完整的文件导入功能或速度的完整版本sigTOOL (this is a 10Mb file THIS IS A DEMO VERSION OF THE SIGTOOL SOFTWARE PACKAGE. It does not have the complete range of file import functions or speed of the full version of sigTOOL. )

说明：  用matlab实现信号系统及系统响应，采取界面编程，功能有时域采样分析，卷积验证，启动相应(Using matlab signal system and the system response, to take programming interface, the functional domain sampling and analysis in some cases, convolution verify, start the corresponding)

pfc matlab，建立PFC模型，并进行仿真，得到输如遇输出波形(pfc matlab)

COntrol nonlinear system using RFNN

说明：  此程序是用vc做的喷泉模拟实验 产生数据在砸爱matlab中画图就可以得到了(This procedure is done fountain vc simulation generated data in matlab hit love in drawing can be a)

AN EXAMPLE FOR HOW TO PROGRAM AN STB

This is a matlab model for 3 phase inverter

VSRS虚拟视点合成软件。完整版。导入到VS中，重新编译就可以使用。(VSRS virtual viewpoint synthesis software. The full version. Imported into the VS, and recompile it can be used)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.