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/492929/6414209
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/485544/6552649
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/485544/6552769
m demrbf1.m
%DEMRBF1 Demonstrate simple regression using a radial basis function network.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling
www.eeworm.com/read/485544/6552804
m metrop.m
function [samples, energies, diagn] = metrop(f, x, options, gradf, varargin)
%METROP Markov Chain Monte Carlo sampling with Metropolis algorithm.
%
% Description
% SAMPLES = METROP(F, X, OPTIONS) use
www.eeworm.com/read/483253/6601747
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/476907/6754293
m ip_07_01.m
% MATLAB script for Illustrated Problem 7.1.
clear
echo on
T=1;
delta_T=T/200; % sampling interval
alpha=0.5; % rolloff factor
fc=40/T; % carrier frequency
www.eeworm.com/read/476907/6754417
m ip_06_03.m
% MATLAB script for Illustrative Problem 6.3.
clear
echo on
f_cutoff=2000; % the desired cutoff frequency
f_stopband=2500; % the actual stopband frequency
fs=10000; % the sampling frequen
www.eeworm.com/read/344551/11873059
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/154843/11923505
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/253950/12173322
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X