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/353896/10407283
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/424653/10430376
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/161052/10458841
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/160476/10527396
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/423109/10584885
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/273093/10927647
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/417159/11001837
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/301544/6962355
m estbeta.m
function beta = estbeta(m1, m2)
% ESTBETA Estimate the beta parameter of a generalized Gaussian
% beta = estbeta(m1, m2)
%
% Input:
% m1: derivation from the mean
% m2: variance of input d
www.eeworm.com/read/468911/6981767
txt _readme.txt
Test dataset
A stochastic model with a von Karman auto-covariance function with nu = 0.5, variance = 1 and correlation lengths c_x =100m and c_y=10m is provided with any05.mat. The model has a size
www.eeworm.com/read/172061/7074873
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