MM5

matlab中用于多用户检测方面的经典文章,如果大家想学联合检测，这篇文章不得不看(matlab used for multi-user testing of the classic article, if everyone wanted to learn a joint detection, this article had to look)

Matlab的常用算法，为初学者提供了学习的实例，十分有用，网上很难找到的！(Matlab algorithms commonly used for beginners to learn the examples, very useful, online hard to find!)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

对编码进行唯一可译码的判断，使用matlab实现(judge unique decodable code by matlab )

线性规划，优化设计作业优化设计作业。。。。。。。。。(linear。。。。)

Folder contains codes for nonlinear controls and documents on formation scheduling

线性调频信号的脉冲压缩处理及图像的分析，非常简介的程序(Linear FM pulse compression signal processing and image analysis, the procedure is very Profile)

loadflow for transmission system

用matlab编写的雷达系统信号仿真程序，包含雷达个部分的仿真程序()

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )