代码搜索：Sampling

找到约 3,969 项符合「Sampling」的源代码

代码结果 3,969
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asv acquisition.asv

function [amp,ccn,cfrq]=Acquisition(lpfdata, svnum) % **************initial parameters**************** fs=4.2e+6; % the sampling frq; ts=1/fs; fc=30e+3; % the center frq without the Doppl
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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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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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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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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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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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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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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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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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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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