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/145715/12706377
m saving_calib_ascii.m
if ~exist('save_name'),
save_name = 'Calib_Results';
end;
fprintf(1,'Generating the matlab script file %s.m containing the intrinsic and extrinsic parameters...\n',save_name)
fid = fopen
www.eeworm.com/read/239550/13272760
m llssigest.m
function [c,e,V,FPE]=llssigest(x,M,method)
% Linear least-squares (LS) signal estimation using
% residual windowing (No-Windowing)
% linear least-squares ( for smoothing applications use M=2L)
% S
www.eeworm.com/read/147682/5728166
m plot_model.m
% plot_model(w,h,e)
%
% Generates plots for evaluating the adaptive modeling problem.
%
% Input variables:
% w : estimated impulse response
% h : actual impulse response
% e : estim
www.eeworm.com/read/147682/5728168
m plot_predict.m
% plot_predict(x,out,err,e)
%
% Generates plots for evaluating the adaptive prediction problem.
%
% Input variables:
% x : predictor input signal
% out : predictor output signal
%
www.eeworm.com/read/110528/6164061
cpp pagesecond.cpp
/******************************************************************************
|* THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF
|* ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDI
www.eeworm.com/read/349590/6291691
m llssigest.m
function [c,e,V,FPE]=llssigest(x,M,method)
% Linear least-squares (LS) signal estimation using
% residual windowing (No-Windowing)
% linear least-squares ( for smoothing applications use M=2L)
% S
www.eeworm.com/read/492929/6414236
m logit_d.m
% PURPOSE: An example of logit(),
% prt_reg().
% maximum likelihood estimation
% (data from Mendenhall et. al 1989)
%---------------------------------------------------