代码搜索：Fitting
找到约 695 项符合「Fitting」的源代码
代码结果 695
www.eeworm.com/read/271244/11001895
m nfamx.m
function [nf, na, ex, E, N] = nfame(data,dt)
%
% [nf,na,ex,E,N]=nfame(data,dt) : Hilbert frequency and amplitude of data(n,k)
% Based on renormalized data with spline fitting of maxima with t
www.eeworm.com/read/299459/7850905
m~ mlsigmoid.m~
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/299459/7850919
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/197649/7982878
m nfamx.m
function [nf, na, ex, E, N] = nfame(data,dt)
%
% [nf,na,ex,E,N]=nfame(data,dt) : Hilbert frequency and amplitude of data(n,k)
% Based on renormalized data with spline fitting of maxima with t
www.eeworm.com/read/142092/12963001
m nfamx.m
function [nf, na, ex, E, N] = nfame(data,dt)
%
% [nf,na,ex,E,N]=nfame(data,dt) : Hilbert frequency and amplitude of data(n,k)
% Based on renormalized data with spline fitting of maxima with t
www.eeworm.com/read/326691/13122849
txt 5-1353msg1.txt
Subject: annual conference of the gldv
9 . gldv jahrestagung 1995 30 . - 31 . 3 . 1995 universitaet regensburg aufruf zur teilnahme die gldv wurde vor genau zwanzig jahren unter dem naman ldv-fitting
www.eeworm.com/read/312163/13617597
m~ mlsigmoid.m~
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/312163/13617604
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/134901/5891574
m~ mlsigmoid.m~
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt
www.eeworm.com/read/134901/5891581
m mlsigmoid.m
function varargout=mlsigmoid(arg1,arg2,arg3)
% MLSIGMOID Fitting a sigmoid function using ML estimation.
%
% Synopsis:
% model = mlsigmoid(data,options)
%
% Description:
% model = mlsigmoid(data,opt