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09-MIMO系统容量仿真程序
说明: function C=capacity(SNR,Nt,Nr)
%SNR=0; %定义信噪比为0HZ
A=10^(SNR/10); %信噪比的单位转换关系式
Im=eye(min(Nr,Nt)); %这里的"1"为发射天线和接收天线两者数目少的根数
sum=0; %初始化sum为0
for i=1:10000 %程序循环10000次
H=randn(Nr,Nt); %产生高斯信号源
if Nr<Nt
Q=H*H'; %求威沙特矩阵
else
Q=H'*H;
end
sum=sum+log2(det(Im+A*Q/Nt)); %10000次循环得到的信道容量总和
end
C=sum/10000 %10000次循环的平均值(function C=capacity(SNR,Nt,Nr)
%SNR = 0;% defines SNR as 0Hz
A = 10 ^ (SNR / 10);% s / N unit conversion relation
Im = eye (min (NR, NT));% here "1" is the number of the less number of transmitting antenna and receiving antenna
Sum = 0;% initialize sum to 0
For I = 1:10000% program cycles 10000 times
H = randn (NR, NT);% produces Gaussian signal source
if Nr<Nt
Q = h * H ';% to find the weissard matrix
else
Q=H'*H;
End
Sum = sum + log2 (DET (IM + A * q / NT));% sum of channel capacity from 10000 cycles
End
C = sum / 10000% average of 10000 cycles)
- 2020-09-12 04:39:02下载
- 积分:1
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K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为形心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各簇的形心的值,直至得到最好的聚类结果。(K-means algorithm is the most classical partition-based clustering method and one of the ten classical data mining algorithms. The basic idea of K-means algorithm is to cluster k points in space and classify the objects closest to them. Iteratively, the values of centroid of clusters are updated one by one until the best clustering results are obtained.)
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使用内点法求解线性规划最优解问题,C++(Solving the Optimal Solution Problem of Linear Programming by Interior Point Method, C++.)
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说明: figures of ad hoc saberali article
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MATLAB模拟的电磁学时域有限差分法编程语言(MATLAB simulation of electromagnetic FDTD method)
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petri网模拟工具 winttpn 很好的工具
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these of diagnosis electrical machine
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