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/396844/2406737
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X at eq
www.eeworm.com/read/396844/2407291
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence)
% ENTER_EVIDENCE Add the specified evidence to the network (gibbs_sampling_inf_engine)
% [engine, loglik] = enter_evidence(engine, evidence
www.eeworm.com/read/393163/2487845
m sample1.m
% Check sampling on a mixture of experts model
%
% X \
% | |
% Q |
% | /
% Y
%
% where all arcs point down.
% We condition everything on X, so X is a root node. Q is a softmax, and Y is a linear
www.eeworm.com/read/393163/2488492
m enter_evidence.m
function [engine, loglik] = enter_evidence(engine, evidence)
% ENTER_EVIDENCE Add the specified evidence to the network (gibbs_sampling_inf_engine)
% [engine, loglik] = enter_evidence(engine, evidence
www.eeworm.com/read/294899/8194424
c aliasing.c
//Aliasing.c illustration of downsampling, aliasing, upsampling
#include "lp33.cof" //lowpass at 1.8 kHz
short flag = 0; //toggles for 2x down-sampling
float indly[
www.eeworm.com/read/170936/9779384
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X at eq
www.eeworm.com/read/415313/11076701
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X at eq
www.eeworm.com/read/413912/11137401
m demmlp1.m
%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X at eq
www.eeworm.com/read/200886/15420686
m slice_sample.m
% function x=slice_sample(logdist,xinit,L,R,W,N,MODE,maxsearch,varargin)
%
%Description
%-------------------
%Use slice sampling to generate samples from any distribution over
%a one dimensional space
www.eeworm.com/read/291298/8426261
m fidelity_error.m
function fidelity_error(freq,Ny_multiple);
% fidelity_error(freq,Ny_multiple);
%
% This script demonstrates how sampling faster than the Nyquist
% frequency forces amplitude modulation for all sample