Matlab

一个国外出名的信息隐藏工具H4PGP，好用简单(A well-known abroad, information hiding tools H4PGP, easy to use simple)

在MATLAB环境下的潮流计算程序简单清晰(zaiMATLABhuanjingxiadechaoliujisuann)

循环谱分析的算法实例，简单明了，希望对你有帮助。(Cyclic spectral analysis algorithm example, simple and clear, I hope for your help.)

SOGI及DS,QS传递函数MATLABm文件及伯德图绘制((SOGI, DS, QS Transfer Function MATLABm File and Bird Diagram Drawing)

说明：  Maltab在数学建模中的应用（第一版）_卓金武等.part1(Maltab in Mathematical Modeling (1st Edition)_Zhuo Jinwu et al.)

matlab编写的信号分解，采用HHT变换的EMD分解方法，提取信号的各阶EMD分量。(matlab write signal decomposition, the use of HHT transform EMD decomposition method to extract the signal component of each order EMD.)

自学matlab的好书，适应于初学者，大家好好学习哦，加油(Learning matlab' s books, adapted to beginners, we learn oh, come on)

产生两个远程的发送信号,采用归一化处理使其中一个信号有时延,然后求两个接收信号的高阶累积量.(have two long-distance signal transmission, is used to make a treatment in which a signal delay, Then the received signal for the two Cumulant.)

continuous graph test inputs the adjacency matrix of a graph and returns 1 if it s continuous and zero if matrix is not square or the graph is not continuous

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.