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/278180/10560456
m instfreq_nonormolized.m
function [fnormhat]=instfreq_nonormolized(x,t,L,trace);
%INSTFREQ Instantaneous frequency estimation.
% [FNORMHAT,T]=INSTFREQ(X,T,L,TRACE) computes the instantaneous
% frequency of the analytic signa
www.eeworm.com/read/351288/10662085
m rationalfitfrequence.m
function [alpha,modal_par]=RationalFitFrequence(rec,omega,N)
%RFP Modal parameter estimation from frequency response function using
% rational fraction polynomial method.
%
% Syntax: [alpha,mo
www.eeworm.com/read/274373/10873899
m pleas.m
function [INLP,ILP] = pleas(funlist,NLPstart,xdata,ydata,options)
% pleas: partitioned nonlinear least squares estimation
% usage: [INLP,ILP] = pleas(funlist,NLPstart,xdata,ydata)
% usage: [INLP,ILP]
www.eeworm.com/read/416298/11034293
m transmat_train_observed.m
function [transmat, initState] = transmat_train_observed(labels, nstates, varargin)
% transmat_train_observed ML estimation from fully observed data
% function [transmat, initState] = transmat_trai
www.eeworm.com/read/469416/6976540
m transmat_train_observed.m
function [transmat, initState] = transmat_train_observed(labels, nstates, varargin)
% transmat_train_observed ML estimation from fully observed data
% function [transmat, initState] = transmat_trai
www.eeworm.com/read/462844/7194401
m matching.m
% block matching algorithm
% Modified from me.m by Bo Tao, Princeton University
%
% Motion estimation with exhaustive search
%
%integer pel EBMA
function [vm,hm,pframe]=EBMA(refframe, newframe
www.eeworm.com/read/450608/7480381
m crossval.m
%CROSSVAL Error estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(DATA,CLASSF,N,1,FID)
% [ERR,STDS] = CROSSVAL(DATA,CLASSF,N,NREP,FID)
%
% INPUT
% A
www.eeworm.com/read/449504/7502730
m egarch.m
function [parameters, likelihood, stderrors, robustSE, ht, scores]=egarch(data,p,o,q,errors, options, startingvals);
% PURPOSE:
% E_GARCH(P,Q) parameter estimation with different error distribut
www.eeworm.com/read/449504/7502739
m skewt_garch.m
function [parameters, likelihood, stderrors, robustSE, ht, scores] = skewt_garch(data , p , q , startingvals, options)
% PURPOSE:
% SKEWT_GARCH(P,Q) parameter estimation with different error dis
www.eeworm.com/read/447954/7543074
todo
$Id: TODO,v 1.4 1998/02/23 09:57:48 kanungo Exp kanungo $
-- Documentation: Tutorial with theory, description of software,
and applications.
+added some
-- Estimation from multiple observatio