代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/252197/12293989
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
clear
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
www.eeworm.com/read/223154/14652229
m std.m
function [o,v]=std(i,opt,DIM)
% STD calculates the standard deviation.
%
% [y,v] = std(x [, opt[, DIM]])
%
% opt option
% 0: normalizes with N-1 [default]
% provides the square root of b
www.eeworm.com/read/216045/15028785
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
clear
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
www.eeworm.com/read/206767/15290159
summary-results
Scheduling Type: Batch (Nonpreemptive)
Scheduling Name: First-Come First-Served
Simulation Run Time: 1734
Mean: 1100
Standard Deviation: 510
Process # CPU Time IO Blocking CPU Completed CPU Block
www.eeworm.com/read/173140/9670674
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
if (rand
www.eeworm.com/read/414455/11111404
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
clear
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
www.eeworm.com/read/268231/11148830
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
if (rand
www.eeworm.com/read/300562/13905446
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
if (rand
www.eeworm.com/read/132953/14065173
m ip_06_06.m
% MATLAB script for Illustrative Problem 6, Chapter 6.
echo on
N=52;
noise_var=0.25;
sigma=sqrt(noise_var); % standard deviation of the noise
for i=1:N, % generate data sequence
if (rand
www.eeworm.com/read/192590/8373860
m multi-carrier-cdma.m
% MC-cdma
function [p]=MCCDMA(snr_in_dB, Lc, A, w0)
snr=10^(snr_in_dB/10);
sgma=1; % noise standard deviation is fixed
Eb=2*sgma^2*snr; % sig