代码搜索：Sampling
找到约 3,969 项符合「Sampling」的源代码
代码结果 3,969
www.eeworm.com/read/254518/12132880
m gaussfilt.m
% GAUSSFILT Design a Gaussian Low-Pass Filter
%
% [B, A] = GAUSSFILT(BW, N)
% BW is the 3-dB bandwidth with 1.0 being 1/2 the
% sampling frequency. N is the number of taps.
%
%
function
www.eeworm.com/read/253950/12173333
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
www.eeworm.com/read/253950/12173654
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
www.eeworm.com/read/339665/12211224
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
www.eeworm.com/read/339665/12211692
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
www.eeworm.com/read/150905/12249891
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
www.eeworm.com/read/150905/12250526
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
www.eeworm.com/read/220289/14843742
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
www.eeworm.com/read/220289/14843847
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
www.eeworm.com/read/215323/15065062
c sample.c
/*
Sample.c
the sampling step of Suave
this file is part of Suave
last modified 9 Feb 05 th
*/
typedef struct {
real sum, sqsum;
real weight, weightsum, avg, avgsum;
real guess, chisum,