Matlab-tool

说明：  modeling of Induction Motor using, voltage, flux and torque equations

6LoWPAN入门教程_ArchRock 详细实现了6LoWPAN(6 lowpan introductory tutorial _ArchRock detailed implementation for 6 lowpan)

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

文件中包含有AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM和Delta Modulation的simulink环境下的实现 (This project allows you to learn the communication systems in greater depth by giving you the reins to play with it ! It contains the simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation. )

说明：  MATLAB软件简介以及实用统计算法分析(Introduction to MATLAB software, and utility of statistical algorithms)

在高斯杂波条件下的平均单元选大恒虚警处理(GO-CFAR under gauss clutter)

这是关于信号处理方面的知识，对matlab的卡尔曼滤波十分重要(This is knowledge about signal processing and it is very importance of kalman filter for matlab )

二阶自抗扰控制器算法中跟踪微分器、扩张状态观测器和非线性误差反馈率的.m文件和simulink仿真图例。(Second-order tracking differentiator ADRC algorithm, the extended state observer and nonlinear error feedback rate. M file and simulink simulation legend.)

说明：  matlab中做层次分析的有关程序，用的最通行的算法，即矩阵的运算(AHP matlab to do about the procedure, the most prevalent method used, the matrix operation)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)