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/248284/12585529
m p10_5.m
% Program P10_5
% Illustration of Decimation Process
%
clf;
M = input('Down-sampling factor = ');
n = 0:99;
x = sin(2*pi*0.043*n) + sin(2*pi*0.031*n);
y = decimate(x,M,'fir');
subplot(2,1,1);
www.eeworm.com/read/135828/13895181
c tables.c
#include "types.h"
#include "tables.h"
/* Here are MPEG1 Table B.8 and MPEG2 Table B.1 -- Layer III scalefactor bands.
Index into this using a method such as:
idx = fr_ps->header->sampling_
www.eeworm.com/read/390411/8466496
m oct3dsgn.m
function [B,A] = oct3dsgn(Fc,Fs,N);
% OCT3DSGN Design of a one-third-octave filter.
% [B,A] = OCT3DSGN(Fc,Fs,N) designs a digital 1/3-octave filter with
% center frequency Fc for sampling fre
www.eeworm.com/read/388457/8607974
m p10_1.m
% Program 10_1
% Illustration of Up-Sampling by an Integer Factor
%
clf;
n = 0:50;
x = sin(2*pi*0.12*n);
y = zeros(1, 3*length(x));
y([1: 3: length(y)]) = x;
subplot(2,1,1)
stem(n,x);
title(
www.eeworm.com/read/387887/8649415
m p10_1.m
% Program 10_1
% Illustration of Up-Sampling by an Integer Factor
%
clf;
n = 0:50;
x = sin(2*pi*0.12*n);
y = zeros(1, 3*length(x));
y([1: 3: length(y)]) = x;
subplot(2,1,1)
stem(n,x);
title(
www.eeworm.com/read/429878/8783981
htm metrop.htm
Netlab Reference Manual metrop
metrop
Purpose
Markov Chain Monte Carlo sampling with Metropolis algorithm.
Synopsis
www.eeworm.com/read/429878/8783995
htm demprgp.htm
Netlab Reference Manual demprgp
demprgp
Purpose
Demonstrate sampling from a Gaussian Process prior.
Synopsis
de
www.eeworm.com/read/429878/8784187
htm demhmc3.htm
Netlab Reference Manual demhmc3
demhmc3
Purpose
Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
Synopsis
www.eeworm.com/read/429878/8784236
htm demprior.htm
Netlab Reference Manual demprior
demprior
Purpose
Demonstrate sampling from a multi-parameter Gaussian prior.
Synopsis
www.eeworm.com/read/429878/8784240
htm demgauss.htm
Netlab Reference Manual demgauss
demgauss
Purpose
Demonstrate sampling from Gaussian distributions.
Synopsis
de