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/428849/8834966
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/283938/8978634
m d_rivtr.m
%D_RIVTR HOSA Demo: Adaptive AR parameter estimation - transversal form
%
echo off
% A. Swami Oct 18, 1997.
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision:
www.eeworm.com/read/381017/9115186
m contents.m
%KALMTOOL version 2
% A toolbox for state estimation for nonlinear systems.
%
%
%Filter functions
% dd1 - DD1-filter.
% dd1m - DD1-filter for systems with multiple observation streams
www.eeworm.com/read/183070/9179537
m contents.m
%KALMTOOL version 2
% A toolbox for state estimation for nonlinear systems.
%
%
%Filter functions
% dd1 - DD1-filter.
% dd1m - DD1-filter for systems with multiple observation streams
www.eeworm.com/read/372037/9523883
m d_rivtr.m
%D_RIVTR HOSA Demo: Adaptive AR parameter estimation - transversal form
%
echo off
% A. Swami Oct 18, 1997.
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision:
www.eeworm.com/read/372037/9523962
m bispectr.m
function [varargout]=bispectr(x,nf,nt,fs)
% [varargout]=bispectr(x,nf,nt,fs)
% This function calculates the bispectrum estimation of input signal
% in one square of bispectrum plane (F1
www.eeworm.com/read/371636/9544032
m instfreq1.m
function [fnormhat,t]=instfreq1(x);
%INSTFREQ1 Instantaneous frequency estimation.
% [FNORMHAT,T]=INSTFREQ1(X) computes the instantaneous
% frequency of the analytic signal X at time instant(s) T,
www.eeworm.com/read/362246/10010468
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/362246/10010485
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/165543/10057781
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