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/342767/11999675

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/255577/12072197

asv f_decimate.asv

function [y,b] = f_decimate (x,fs,M,m,f_type,alpha) %F_DECIMATE: Reduce sampling rate by factor M. % % Usage: [y,b] = f_decimate (x,fs,M,m,f_type,alpha) % % Inputs: x = a vector of length
www.eeworm.com/read/255577/12072563

m f_decimate.m

function [y,b] = f_decimate (x,fs,M,m,f_type,alpha) %F_DECIMATE: Reduce sampling rate by factor M. % % Usage: [y,b] = f_decimate (x,fs,M,m,f_type,alpha) % % Inputs: % x = a vecto
www.eeworm.com/read/255577/12072732

asv f_interpol.asv

function [y,b] = f_interpol (x,fs,L,m,f_type,alpha) %F_INTERPOL: Increase sampling rate by factor L. % % Usage: [y,b] = f_interpol (x,fs,L,m,f_type,alpha) % % Inputs: % x = a vec
www.eeworm.com/read/255577/12072894

m f_interpol.m

function [y,b] = f_interpol (x,fs,L,m,f_type,alpha) %F_INTERPOL: Increase sampling rate by factor L. % % Usage: [y,b] = f_interpol (x,fs,L,m,f_type,alpha) % % Inputs: % x = a vec
www.eeworm.com/read/253950/12174021

htm metrop.htm

Netlab Reference Manual metrop metrop Purpose Markov Chain Monte Carlo sampling with Metropolis algorithm. Synopsis
www.eeworm.com/read/253950/12174036

htm demprgp.htm

Netlab Reference Manual demprgp demprgp Purpose Demonstrate sampling from a Gaussian Process prior. Synopsis de
www.eeworm.com/read/253950/12174150

htm demhmc3.htm

Netlab Reference Manual demhmc3 demhmc3 Purpose Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. Synopsis
www.eeworm.com/read/253950/12174179

htm demprior.htm

Netlab Reference Manual demprior demprior Purpose Demonstrate sampling from a multi-parameter Gaussian prior. Synopsis
www.eeworm.com/read/253950/12174185

htm demgauss.htm

Netlab Reference Manual demgauss demgauss Purpose Demonstrate sampling from Gaussian distributions. Synopsis de