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/469416/6976497
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 a
www.eeworm.com/read/467759/7000710
m lpcbwexp.m
function arx=lpcbwexp(ar,bw)
%LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW)
%minimum bandwidth will be BW*fs where fs is the sampling frequency
%the radius of each pole will be multi
www.eeworm.com/read/255967/7098239
m extr.m
%EXTR finds extrema and zero-crossings
%
% [indmin, indmax, indzer] = EXTR(x,t)
%
% inputs : - x : analyzed signal
% - t (optional) : sampling times, default 1:length(x)
%
% outputs : - indm
www.eeworm.com/read/236873/7119059
m lpcbwexp.m
function arx=lpcbwexp(ar,bw)
%LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW)
%minimum bandwidth will be BW*fs where fs is the sampling frequency
%the radius of each pole will be multi
www.eeworm.com/read/458010/7314188
m lpcbwexp.m
function arx=lpcbwexp(ar,bw)
%LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW)
%minimum bandwidth will be BW*fs where fs is the sampling frequency
%the radius of each pole will be multi
www.eeworm.com/read/449504/7501961
m bino_rnd.m
function rnd = bino_rnd (n, p, r, c)
% PURPOSE: random sampling from a binomial distribution
%---------------------------------------------------
% USAGE: rnd = bino_rnd(n,p,r,c)
% where: p = the
www.eeworm.com/read/449504/7502165
m ar_g.m
function results = ar_g(y,nlag,ndraw,nomit,prior,start)
% PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model
% imposing stability restrictions using Gibbs sampling
% y
www.eeworm.com/read/449504/7502862
m messv_g3d.m
% PURPOSE: An example of using messv_g3() on a small dataset
% Gibbs sampling the matrix exponential heteroscedastic spatial model
% using Anselin's Columbus crime data
% this function samples over bo
www.eeworm.com/read/448350/7534412
m lpcbwexp.m
function arx=lpcbwexp(ar,bw)
%LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW)
%minimum bandwidth will be BW*fs where fs is the sampling frequency
%the radius of each pole will be multi
www.eeworm.com/read/440842/7680297
m ar_g.m
function results = ar_g(y,nlag,ndraw,nomit,prior,start)
% PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model
% imposing stability restrictions using Gibbs sampling
% y