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说明：  IBP matlab source code for super resolution application

滤波器实例，matlab的，学完动态信号分析的作业，华南理工大学研究生课程(Filter instance, matlab, completion of the job of the dynamic signal analyzer, South China University of Technology postgraduate courses)

二级倒立摆系统采用极点配置的方法控制，系统达到平衡。(Double inverted pendulum control using pole placement method, the system in balance.)

MATLAB 2009b 从入门到精通，关于matlab的相关操作。 (If you are viewing this topic in the MATLAB Help browser, you can run one of the utilities provided here to create associations in the Windows environment for common file types used by MATLAB.)

说明：  无人驾驶汽车是智能汽车的一种，也称为轮式移动机器人，(Vehicular automation involves the use of mechatronics, artificial intelligence, and multi-agent system to assist a vehicle's operator.)

主要是感知器程序集，用于模式分类，欢迎您的访问，谢谢您的支持和下载 (Sensor assembly is mainly used for pattern classification, welcome your visit, thank you for your support and download)

这是saleh提出其高功率放大器模型的原文 很难找 给大家共享(This is saleh to present its high-power amplifier model of the original hard to find for everyone to share)

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.

用matlabR2009b进行的90个MATLAB练习。。。(MatlabR2009b carried out using MATLAB Exercise 90. . .)

添加随机白噪音方法,用于时序仿真分析，仅供参考！(Add noise for simulation)