代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/459986/7259666
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/458133/7303798
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/453654/7415828
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/299187/7880795
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/299187/7880862
asv channel.asv
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/433775/7910013
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/197958/7960942
m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance
www.eeworm.com/read/398034/8009137
m sa_ex8_4.m
%Maximum Likelihood Array Weights
% example 8.4
d=.5;
N= 5;
sig2=.001; % noise variance
theta=-pi/2:.01:pi/2;
ang=theta*180/pi;
th0=30*pi/180; % receive angle
s=1;
www.eeworm.com/read/196814/8058897
m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance
www.eeworm.com/read/244945/12829699
m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance