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/138798/13212528
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/137160/13342250
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/312163/13617517
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/291067/6303066
m aimtexrun23.m
%AIMTEXRUN23 Monte Carlo simulations of number-of-targets estimation in the AIMT application example using one CPI only.
%
%Monte Carlo simulations and statistical analysis in the AIMT application exa
www.eeworm.com/read/493843/6391468
m mem.m
function Px = mem(x,p)
%MEM Spectrum estimation using the Maximum Entropy Method (MEM).
%---
%USAGE Px = mem(x,p)
%
% The spectrum of a process x is estimated using the maximum
% entropy method
www.eeworm.com/read/493294/6400242
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/482374/6623663
src cmldens.src
/*
** cmldens.src CMLdensity - Kernel Density Estimation
**
** (C) Copyright 1994-1996 Aptech Systems, Inc.
** All Rights Reserved.
**
** This Software Product is PROPRIETARY SOURCE CODE O
www.eeworm.com/read/408292/11398238
m fit_model_mixed_lltm.m
%main file for estimation prob graphical models
%mixed lltm (rasch)
%see the examples in the example map for other specific models
%or define your own model
%to be done for each model
%1.loa
www.eeworm.com/read/402094/11543203
m music.m
function w=music(y,n,m)
%
% The Root MUSIC method for frequency estimation.
%
% w=music(y,n,m);
%
% y -> the data vector
% n -> the model order
% m -> the order of the covariance
www.eeworm.com/read/402094/11543218
m esprit.m
function w=esprit(y,n,m)
%
% The ESPRIT method for frequency estimation.
%
% w=esprit(y,n,m);
%
% y -> the data vector
% n -> the model order
% m -> the order of the covariance m