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WiMAX_Test_4
本程序是对IEEE 802.16e物理层和链路层的仿真。
使用matlab的simulink仿真工具,先运行data.m产生仿真数据,再运行WiMAX_Test_4.dll进行仿真。(This program is the physical and link layer simulation of IEEE 802.16e. The simulation uses the simulink tool of MATLAB. First,run data.m to generate data, and then run WiMAX_Test_4.dll.)
- 2009-05-15 14:22:07下载
- 积分:1
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rayleighbenard
说明: 雷利对流,用格子波尔兹曼方法以Z.Guo程序为基准,得出的近似值用于估计浮动过程,希望有人能够用得到。( Rayleigh Benard Convection, using a LB method,based on [Z.Guo, ].
Boussinesq approximation is used for the buoyancy term.)
- 2010-03-20 14:48:55下载
- 积分:1
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matlabGA
说明: 本源码是基于遗传算法的多维函数值的优化计算,利用matlab仿真(The source is based on genetic algorithm optimization of multi-dimensional function value calculation, the use of matlab simulation)
- 2008-11-02 13:33:05下载
- 积分:1
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MATLAB_7.0_from_the_Introduction_to_Mastery
MATLAB 7.0从入门到精通源代码matlab7从入门到精通书上的例子源码 (MATLAB 7.0 from entry to the master source code matlab7 the book from beginning to master the example source)
- 2010-05-24 21:52:30下载
- 积分:1
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shanks
function [a,b,err] = shanks(x,p,q)
SHANKS Model a signal using Shanks method
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Usage: [a,b,err] = shanks(x,p,q)
The sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles. The modeling error
is returned in err.
- 2012-04-18 09:58:03下载
- 积分:1
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changestepadptivefilter
变步长的LMS自适应滤波算法(matlab)(variable step LMS adaptive filter algorithm (Matlab))
- 2007-06-14 23:34:00下载
- 积分:1
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thesis_nwang
A major challenge to MIMO-OFDM systems is how to obtain the channel state in-
formation accurately and promptly for coherent detection of information symbols and
channel synchronization.
- 2013-02-20 19:59:25下载
- 积分:1
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nnn
求一元二次方程ax2 +bx+c=0的根(Find a quadratic equation ax2+ bx+ c = 0 root)
- 2013-10-10 11:24:33下载
- 积分:1
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Asjusted-rand-index
This Matlab code calculates the Rand Index and Adjusted rand Index between two clustering groups. The two input clusters has to be in the form of a structure as shown in the example mat file ( A and B ) attached in the folder. The code calculates the contingency table among the cluster and then calculates the Rand Index and Adjusted Rand Index. Using the value of the indices one can know about the similarity of the clustering group
- 2013-05-20 15:22:40下载
- 积分:1
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MATLAB-MLP-Backprop-Code
MATLAB MLP Backprop Code
- 2013-10-08 15:15:47下载
- 积分:1