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/422697/10619596
m extr.m
function [indmin, indmax, indzer] = extr(x,t);
% [indmin, indmax, indzer] = EXTR(x,t) finds extrema and zero-crossings
%
% inputs : - x : analyzed signal
% - t (optional) : sampling times, d
www.eeworm.com/read/158750/10731498
m dir2fs.m
function [C,B,A] = dir2fs(h)
% Direct form to Frequency Sampling form conversion
% -------------------------------------------------
% [C,B,A] = dir2fs(h)
% C = Row vector containing gains for paralle
www.eeworm.com/read/421052/10758856
m peakdetection.m
function peaks = PeakDetection(x,ff)
%
% peaks = PeakDetection(x,f),
% R-peak detector
%
% inputs:
% x: vector of input data
% f: approximate ECG beat-rate in Hertz, normalized by the sampling
www.eeworm.com/read/271244/11001898
m hfarm.m
function [w,a] = hfarm(data,dt,fa)
%
% [f,a]=hfarm(data,dt,factor):
% Hilbert frequency and amplitude of data(n,k) with room window.
% data: input data.
% dt: sampling perio
www.eeworm.com/read/469416/6976529
m fwdprop_backsample.m
function samples = fwdprop_backsample(init_state_distrib, transmat, obslik, nsamples)
% forwards propagation, backwards sampling
%
% input
% init_state_distrib(q)
% transmat(q, q')
% obslik(q,
www.eeworm.com/read/469416/6976547
m~ fwdprop_backsample.m~
function samples = fwdprop_backsample(init_state_distrib, transmat, obslik, nsamples)
% forwards propagation, backwards sampling
%
% input
% init_state_distrib(q)
% transmat(q, q')
% obslik(q,
www.eeworm.com/read/447152/7090120
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/449504/7502859
m mess_g3d.m
% PURPOSE: An example of using mess_g3() on a small dataset
% Gibbs sampling the matrix exponential spatial model
% using Anselin's Columbus crime data
% this function samples over both rho and #neigh
www.eeworm.com/read/449504/7502865
asv mess_g3d.asv
% PURPOSE: An example of using mess_g3() on a small dataset
% Gibbs sampling the matrix exponential spatial model
% using Anselin's Columbus crime data
% this function samples over both rho and #neigh
www.eeworm.com/read/437045/7755930
asv peakdetection.asv
function peaks = PeakDetection(x,f)
%
% peaks = PeakDetection(x,f),
% R-peak detector
%
% inputs:
% x: vector of input data
% f: approximate ECG beat-rate in Hertz, normalized by the sampling