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/283509/9015001
m ginit.m
% values for global variables
% these are defined in globals.m
PLAN_FIG=1; % default handle for plan figure
WORLD_SIZE=500; % 0-100 meters in each direction
LINC=0.1; % 0.1m length for splin
www.eeworm.com/read/183673/9145742
m suzuki_generator.m
% 函数Suzuki_generator(N1,N2,N3,variance,fmax,fc,kc,sigma3,m3,A_Los,f_Los,T_interval,T)
% 功能：根据需要采用MED、MEA、MCM、MSEM、MEDS和JM中的任何一种方法，来生成既考虑小尺度衰落（莱斯分布），
% 又考虑大尺度阴影（对数正态分布）的确定型Suzuki过程
% 输入参数说明：
%
www.eeworm.com/read/181460/9254692
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/174563/9581629
m suzuki_generator成确定型suzuki过程.m
% 函数Suzuki_generator(N1,N2,N3,variance,fmax,fc,kc,sigma3,m3,A_Los,f_Los,T_interval,T)
% 功能：根据需要采用MED、MEA、MCM、MSEM、MEDS和JM中的任何一种方法，来生成既考虑小尺度衰落（莱斯分布），
% 又考虑大尺度阴影（对数正态分布）的确定型Suzuki过程
% 输入参数说明：
%
www.eeworm.com/read/416040/11043677
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/165343/7143809
txt gran2.cc.txt
/**********************************************************************/
/* Generate two unit-variance Gaussian random numbers.
This function calls rand(), so you can control the seed using
v
www.eeworm.com/read/458393/7297108
m evaluate.m
function [stad_deviation,stad_variance,entropy] = evaluate(I)
%I为融合图像
%stad_deviation:融合图像的标准偏差
%variance：融合图像的标准方差
%entropy:融合图像的熵
%%
%求标准偏差
I1 = imread(I);
[sI,cI,bI] = size(I1);
t = 0.;h =
www.eeworm.com/read/452948/7428857
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/448535/7531375
m wftest.m
% Test the Wiener filter equalizer for a first-order signal and first-order
% channel
% This script provides a test vehicle for the first-order Wiener filter
% Copyright 1999 by Todd K. Moon
www.eeworm.com/read/448535/7531563
m ator2.m
function [sigma2,r1,r2] = ator2(a1,a2,sigmaf2)
%
% Given the coefficients from a 2nd-order AR model
% y[t+2] + a1 y[t+1] + a2 y[t] = f[t+2],
% where f has variance sigmaf2, compute sigma_y^2, r[1