BA_KR_30_60-3_KR_C4_en.pdf

这是一个比较简单的水箱水位串级控制的程序，供初学者学习。(This is a relatively simple tank level cascade control program for beginners to learn.)

实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)

说明：  matlab实现成绩的查询！成绩用txt文件读入matlab中(matlab query)

this programmedefine a circuit-based simulation model for a PV cell in order to allow find MPPT

主成分分析和独立成分分析，可以进行信号处理(Principal component analysis and independent component analysis, signal processing)

MATLAB入门教程 1．MATLAB的基本知识 2．数值分析 3.基本xy平面绘图命令 4.三维网图的高级处理 ...(MATLAB Tutorial 1. 2 of the basic knowledge of MATLAB. Numerical Analysis 3. The basic drawing commands xy plane 4. Three-dimensional map of the high-level processing ...)

fastica 工具包，独立成分分析。安装在matlab的toolbox下即可使用(fastica toolbox，for ica analysis)

matlab编写的小游戏，很像“闪电”，版本要求高于R(matlab prepare small games, like )

投影寻踪算法————可以用于多指标的分类等等，是一种比较常用的算法(Projection pursuit algorithm---- can be used for multi-index classification, etc., is a commonly used algorithm)

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.