giaodien

随机过程中的possion算法在matlab中的实现例程(random process of possion algorithm in Matlab routines to the realization)

In response to a complaint we received under the US Digital Millennium Copyright Act, we have removed 1 result(s) from this page. If you wish, you may read the DMCA complaint that caused the removal(s) at ChillingEffects.org.

函数逼近的实现方法,matlab程序集的源代码，相当不错，希望对大家有帮助(Implementation of approximation of function)

该代码是lte信道反馈预编码的仿真源代码(The code is pre-coded channel feedback lte simulation source code)

信道化接收机:多相结构在信道化接收机中的应用研究.pdf(Channelized receiver)

lens matlab 二次光学设计中的透镜设计，根据非成像光学原理，利用matlab计算生成点坐标,导入TP(lens matlab)

GSM信道编码的simulink仿真框图和源代码，GSM信道编码的simulink仿真框图和源代码(GSM channel coding simulation simulink block diagram and source code, GSM channel coding simulation simulink block diagram and source code)

说明：  BA无标度网络的算法，主要是演示无标度网络是怎么样生成新节点的(BA scale-free network algorithm, the main is to demonstrate how the scale-free network to generate a new kind of node)

The MATLAB code which encrypt data based on AES technique.

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.)