代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
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www.eeworm.com/read/475502/6790089
m tfestgui.m
function tfestgui(mode)
%TFESTGUI Graphical User Interface program for transfer function estimation.
% ADSP Toolbox: Version 2.0
% For use with "Analog and Digital Signal Processing", 2nd Ed.
www.eeworm.com/read/172354/9712650
m easy7.m
function offset = easy7(ofile, navfile);
% EASY7 Estimation of receiver clock offset and position
% through batch processing. Data are read from
% the RINEX ofile.
% The processing is
www.eeworm.com/read/172354/9712775
m easy7.m
function offset = easy7(ofile, navfile);
% EASY7 Estimation of receiver clock offset and position
% through batch processing. Data are read from
% the RINEX ofile.
% The processing is
www.eeworm.com/read/411674/11233851
m demo_mmgauss.m
function demo_mmgauss(action,hfigure,varargin)
% DEMO_MMGAUSS Demo on minimax estimation for Gaussian.
%
% Synopsis:
% demo_mmgauss
%
% Description:
% demo_mmgauss demonstrates the minimax estimati
www.eeworm.com/read/237667/13939290
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/235187/14082483
m easy7.m
function offset = easy7(ofile, navfile);
% EASY7 Estimation of receiver clock offset and position
% through batch processing. Data are read from
% the RINEX ofile.
% The processing is
www.eeworm.com/read/200976/15419085
cpp nl_ex.cpp
// This is an example of a non-linear least squares fit. The example
// is from "Nonlinear estimation" by Gavin Ross (Springer,1990), p 63.
// There are better ways of doing the fit in this case so th
www.eeworm.com/read/108859/15573708
m tfestgui.m
function tfestgui(mode)
%TFESTGUI Graphical User Interface program for transfer function estimation.
% ADSP Toolbox: Version 2.0
% For use with "Analog and Digital Signal Processing", 2nd Ed.
www.eeworm.com/read/107559/15604936
m im_class_mle.m
function class=im_class_MLE(im,plot);
% function class=im_class_MLE(im,plot);
%
% routine for performing classification of multispectral images using
% Maximum Likelihood Estimation algorithm
%
www.eeworm.com/read/100394/15874898
cpp nl_ex.cpp
// This is an example of a non-linear least squares fit. The example
// is from "Nonlinear estimation" by Gavin Ross (Springer,1990), p 63.
// There are better ways of doing the fit in this case so th