代码搜索：Sampling

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www.eeworm.com/read/213940/15121841

m ip_06_03.m

% MATLAB script for Illustrative Problem 6.3. echo on f_cutoff=2000; % the desired cutoff frequency f_stopband=2500; % the actual stopband frequency fs=10000; % the sampling frequency f1=
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www.eeworm.com/read/213940/15121951

m ip_07_01.m

% MATLAB script for Illustrated Problem 7.1. echo on T=1; delta_T=T/200; % sampling interval alpha=0.5; % rolloff factor fc=40/T; % carrier frequency A_m=1;
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www.eeworm.com/read/212307/15160049

m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algorithm
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www.eeworm.com/read/212307/15160155

m demmet1.m

function demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimensions using a
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www.eeworm.com/read/210159/15205764

m ip_07_01.m

% MATLAB script for Illustrated Problem 7.1. echo on T=1; delta_T=T/200; % sampling interval alpha=0.5; % rolloff factor fc=40/T; % carrier frequency A_m=1;
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www.eeworm.com/read/210158/15205792

m ip_06_03.m

% MATLAB script for Illustrative Problem 6.3. echo on f_cutoff=2000; % the desired cutoff frequency f_stopband=2500; % the actual stopband frequency fs=10000; % the sampling frequency f1=
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www.eeworm.com/read/13871/284517

m~ demmet1.m~

function demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimensions usi
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www.eeworm.com/read/13871/284525

m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algo
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www.eeworm.com/read/13871/284590

m# #demmet1.m#

function samples=demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimens
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www.eeworm.com/read/13871/284636

m demmet1.m

function samples=demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimens
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