MIMOSAR

用于潮流计算的实用程序是电力系统毕业设计的必备程序包 使用范围很广的 欢迎测试(Flow calculation for the utility power system is essential graduation package designed to use a wide range of welcome to the test)

仿真滚动轴承信号，通过不同阈值降噪方法，降噪后的时域图(Simulation of rolling bearing signal, through the different threshold noise reduction method, time-domain figure after noise reduction)

作为第四版的升级，此程序用于计算和绘制均匀线阵源的方向图(This program is an updated and combined version of the programs ANTGAIN ARRAYPATGAIN in the 4th edition of Kraus s Electromagnetics. This program computes and plots the field pattern of a uniform linear array of sources. )

to sparsify an image

Matlab教程PPT，Matlab概述与应用程序基础(Matlab PPT)

实现1/2码率的卷积码（2，1，7）的TCM编译码。(To achieve 1/2 rate convolution code (2,1,7) of the TCM code.)

matlab code for model reference adaptive control

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.

说明：  标准极坐标牛顿潮流，包含导纳矩阵生成过程，以中国电力出版社出版《电力系统分析计算机算法》例题2.1为算例(Standard polar coordinates NEWTON, including admittance matrix generation process, with China Electric Power Publishing House &quot power system analysis computer algorithms,&quot Example 2.1 as an example)

最优化的共轭梯度法，适应于两个参数的无条件极值的求取(Matlab process)