代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

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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
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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 an
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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
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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
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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
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m covar.m

function cov = covar(dens,noBiasFlag) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % covar(dens [,noBiasFlag]) -- returns the variance of a given KDE % % if noBi
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cpp prodsamplegibbs.cpp

/////////////////////////////////////////////////////// // Functions for single-scale gibbs samplers // /////////////////////////////////////////////////////// // // Written by Alex Ihler and Mik
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cpp prodsamplegibbsms.cpp

/////////////////////////////////////////////////////// // Functions for single-scale gibbs samplers // /////////////////////////////////////////////////////// // // Written by Alex Ihler and Mik
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c report.c

/* * GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette * This program may be freely copied for educational * and research purposes. All other rights reserved. * * file: report
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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
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