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/451442/7463741
cpp frequencyoffset.cpp
#include "Common.h"
/**** add frequency-offset on the i th chip/sampling_point ****/
void AddFrequencyOffset(complex *ChannelOut,int i)
{
int k;
double theta;
complex phase;
theta = 2
www.eeworm.com/read/449504/7502087
m bvarf_g.m
function ylevf = bvarf_g(y,nlag,nfor,begf,prior,ndraw,nomit,x,transf);
% PURPOSE: Gibbs sampling forecasts for Bayesian vector
% autoregressive model using Minnesota-type prior
% y
www.eeworm.com/read/445413/7595658
m bft_create_filter1.m
%BFT_CREATE_FILTER1 Create linear phase low pass filter. Method #1
% This function creates a low pass filter, with a cutting frequency
% at half the sampling frequency. The design method is base
www.eeworm.com/read/143706/12849530
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/143706/12849881
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/143706/12850409
m preprocess.m
function [X, Y, num_data, num_feature] = preprocess(D)
global preprocess;
% sparse data
if (preprocess.Sparse == 1)
D = spconvert(D);
end
% Sampling
if ((preprocess.DataSampling == 1)
www.eeworm.com/read/140851/13058951
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
www.eeworm.com/read/140851/13058960
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
www.eeworm.com/read/140851/13059099
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
www.eeworm.com/read/140851/13059239
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