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/282683/9074360

m prewhiten.m

function X = prewhiten(X, alfa) %PREWHITEN Performs prewhitening of a dataset X % % X = prewhiten(X) % X = prewhiten(X, alfa) % % Performs prewhitening of the dataset X. Prewhitening concentrates
www.eeworm.com/read/184529/9096412

mdl koe_channel_awgn.mdl

Model { Name "koe_channel_awgn" Version 3.00 SimParamPage "Solver" SampleTimeColors off InvariantConstants off WideVectorLines off ShowLineWidths off ShowPortDataType
www.eeworm.com/read/381207/9104487

m fig9_28.m

clear all npts = 2000; del = 1/2000; t = 0:del:1; inp = (1+.2 .* t + .1 .*t.^2) + cos(2. * pi * 2.5 .* t); X0 = [1,.1,.01]'; % it is assumed that the measurement vector H=[1,0,0] % this is the
www.eeworm.com/read/381207/9104489

m fig9_27.m

clear all npts = 2000; del = 1/2000; t = 0:del:1; inp = (1+.2 .* t + .1 .*t.^2);% + cos(2. * pi * 2.5 .* t); X0 = [1,.1,.01]'; % it is assumed that the measurmeny vector H=[1,0,0] % this is the
www.eeworm.com/read/281983/9125335

asv bootstrap.asv

function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples); % PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR, % particle filter, etc.) for the model specified in the %
www.eeworm.com/read/281983/9125354

m bootstrap.m

function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples); % PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR, % particle filter, etc.) for the model specified in the %
www.eeworm.com/read/182173/9213603

asv bootstrap.asv

function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples); % PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR, % particle filter, etc.) for the model specified in the %
www.eeworm.com/read/182173/9213611

m bootstrap.m

function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples); % PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR, % particle filter, etc.) for the model specified in the %
www.eeworm.com/read/377595/9270274

mdl koe_channel_awgn.mdl

Model { Name "koe_channel_awgn" Version 3.00 SimParamPage "Solver" SampleTimeColors off InvariantConstants off WideVectorLines off ShowLineWidths off ShowPortDataType
www.eeworm.com/read/180485/9305526

m program_09_4.m

% Program 9_4 % Computation of the output noise variance due % to input quantization of a digital filter % based on a partial-fraction approach % num = input('Type in the numerator = '); den