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/479763/6678365
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/479763/6678369
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/478401/6716205
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/402094/11543215
m root_music_doa.m
function doa=root_music_doa(Y,n,d)
%
% The MUSIC method for direction of arrival estimation
%
% call doa=root_music_doa(Y,n,d)
%
% Y
www.eeworm.com/read/400577/11573205
m testc.m
%TESTC Test classifier, error / performance estimation
%
% [E,C] = TESTC(A*W,TYPE)
% [E,C] = TESTC(A,W,TYPE)
% E = A*W*TESTC([],TYPE)
%
% [E,F] = TESTC(A*W,TYPE,LABEL)
% [E,F] = TESTC(A,
www.eeworm.com/read/158149/11641770
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/158149/11641782
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/158100/11643514
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/150760/12266189
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/150760/12266191
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