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/336926/3346228
m setnoise.m
% opens slider for noise variance
function setnoise(varianz,action)
% find simulink system
system = get_param(0,'CurrentSystem');
if isempty(system)
disp('No system found.');
else
while
www.eeworm.com/read/335792/3356212
m setnoise.m
% opens slider for noise variance
function setnoise(varianz,action)
% find simulink system
system = get_param(0,'CurrentSystem');
if isempty(system)
disp('No system found.');
else
while
www.eeworm.com/read/334933/3360432
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator and den
www.eeworm.com/read/334933/3360574
m00 !noisepw.m00
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator and den
www.eeworm.com/read/316580/3610243
m setnoise.m
% opens slider for noise variance
function setnoise(varianz,action)
% find simulink system
system = get_param(0,'CurrentSystem');
if isempty(system)
disp('No system found.');
else
while
www.eeworm.com/read/309003/3708544
m asfig03.m
% asfig03 -- Asymptopia Figure 03: Noisy Versions of Four Signals
%
% The four objects of Figure 2 with white noise superposed.
% The noise is normally distributed with variance 1.
%
%
global
www.eeworm.com/read/309003/3708588
m cspinf02.m
% cspinf02 -- Noisy Versions of Four Signals
%
% The four objects of Figure 1 with white noise superposed.
% The noise is normally distributed with variance 1.
%
%
global yblocks ybumps yheavi
www.eeworm.com/read/301474/3839532
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator and den
www.eeworm.com/read/301474/3839674
m00 !noisepw.m00
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator and den
www.eeworm.com/read/300244/3847704
m table333.m
% table333 - Compute equivalent degrees of freedom and number of
% non-boundary coefficients for D(6) MODWT wavelet variance estimtates
% for vertical ocean shear measurements
%
% Usage:
% run tabl