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/167781/9952880

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
www.eeworm.com/read/362500/9995891

m gscale.m

function [gx,mx,stdx] = gscale(x) %GSCALE group scales a matrix. % GSCALE scales an input matrix (x) such that the columns % have mean zero and variance relative to the total % variance in (x).
www.eeworm.com/read/362500/9995897

m varcap.m

function vc = varcap(x,loads,scl,plots); %VARCAP Variance captured for each variable in PCA model % Calculates percent variance captured in a PCA model for each % variable and number of PCs. Inpu
www.eeworm.com/read/166114/10035444

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/165851/10049148

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
www.eeworm.com/read/163777/10145956

m program_9_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
www.eeworm.com/read/358502/10186291

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/356723/10222105

m fig11_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/356723/10222107

m fig11_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 measurmeny vector H=[1,0,0] % this is the u
www.eeworm.com/read/356183/10235308

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