代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/139491/13153723
m bispecdx.m
function [Bspec,waxis] = ...
bispecdx (x, y, z, nfft, wind, nsamp, overlap,plotflag)
%BISPECDX Cross-Bispectrum estimation using the direct (fft-based) approach.
% [Bspec,waxis] = bispecdx (x,y
www.eeworm.com/read/139491/13153742
m bicepsf.m
function [hest,ceps] = bicepsf (y,nlag,nsamp, overlap,flag, nfft, wind)
%BICEPSF Non-parametric IR estimation using the bicesptrum (FFT method)
% [hest, ceps] = bicepsf (y,nlag,segsamp,overlap,flag,
www.eeworm.com/read/139491/13153924
m bispecdx.m
function [Bspec,waxis] = ...
bispecdx (x, y, z, nfft, wind, nsamp, overlap,plotflag)
%BISPECDX Cross-Bispectrum estimation using the direct (fft-based) approach.
% [Bspec,waxis] = bispecdx (x,y
www.eeworm.com/read/139491/13153942
m bicepsf.m
function [hest,ceps] = bicepsf (y,nlag,nsamp, overlap,flag, nfft, wind)
%BICEPSF Non-parametric IR estimation using the bicesptrum (FFT method)
% [hest, ceps] = bicepsf (y,nlag,segsamp,overlap,flag,
www.eeworm.com/read/241192/13164271
m timeup.m
function [x,P] = timeup(x,P,Phi,Q)
%
% function [x,P] = timeup(x,P,Phi,Q)
%
% Performs the Kalman filter time update of state vector, x
% and the associated covariance matrix of estimation uncert
www.eeworm.com/read/239550/13272724
m aplatest.m
function [k,var] = aplatest(x,P)
% Estimation of All-Pole lattice parameters using LS Forward/Backward
% error minimization using Burg approach
% [k,var] = aplatest(x,P)
% Inputs:
% x : signa
www.eeworm.com/read/318840/13471264
m timeup.m
function [x,P] = timeup(x,P,Phi,Q)
%
% function [x,P] = timeup(x,P,Phi,Q)
%
% Performs the Kalman filter time update of state vector, x
% and the associated covariance matrix of estimation uncert
www.eeworm.com/read/314385/13568722
m timeup.m
function [x,P] = timeup(x,P,Phi,Q)
%
% function [x,P] = timeup(x,P,Phi,Q)
%
% Performs the Kalman filter time update of state vector, x
% and the associated covariance matrix of estimation uncert
www.eeworm.com/read/312163/13617600
m~ mlcgmm.m~
function model=mlcgmm(data,cov_type)
% MLCGMM Maximal Likelihood estimation of Gaussian mixture model.
%
% Synopsis:
% model = mlcgmm(X)
% model = mlcgmm(X,cov_type)
% model = mlcgmm(data)
% mode
www.eeworm.com/read/312163/13617601
m mlcgmm.m
function model=mlcgmm(data,cov_type)
% MLCGMM Maximal Likelihood estimation of Gaussian mixture model.
%
% Synopsis:
% model = mlcgmm(X)
% model = mlcgmm(X,cov_type)
% model = mlcgmm(data)
% mode