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/493206/6398541
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
%
www.eeworm.com/read/493294/6400015
m normal_map.m
%NORMAL_MAP Map a dataset on normal-density classifiers or mappings
%
% F = NORMAL_MAP(A,W)
%
% INPUT
% A Dataset
% W Mapping
%
% OUTPUT
% F Density estimation for classes in A
%
% DESC
www.eeworm.com/read/482347/6623149
m deltaparametri.m
function [dvar] = deltaparametri(delta,dev,cor,legame,valuta,cambi,vm)
%DELTAPARAMETRI deltavar estimation changing the parameters.
%
% [dvar] = deltaparametri(delta,dev,cor,legame,valuta,cambi,vm)
%
www.eeworm.com/read/478490/6708651
m arburgw.m
function varargout= arburgw( x, p, ventana)
%ARBURGW AR parameter estimation via windowed-Burg method.
% A = ARBURGW(X,ORDER,WINDOW) returns the polynomial A corresponding to the
% AR paramet
www.eeworm.com/read/477304/6741471
m multimad.m
function ws = MultiMAD(wc,L)
% MultiMAD -- Apply Shrinkage with level-dependent Noise level estimation
% Usage
% s = MultiMAD(wc,L)
% Inputs
% wc Wavelet Transform of noisy sequence
www.eeworm.com/read/410924/11264945
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
%
www.eeworm.com/read/405069/11472236
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
% pattern
www.eeworm.com/read/400577/11572704
m normal_map.m
%NORMAL_MAP Map a dataset on normal-density classifiers or mappings
%
% F = NORMAL_MAP(A,W)
%
% INPUT
% A Dataset
% W Mapping
%
% OUTPUT
% F Density estimation for classes in A
%
% DESC
www.eeworm.com/read/400577/11572973
m crossval.m
%CROSSVAL Error/performance estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(A,CLASSF,N,1,TESTFUN)
% [ERR,STDS] = CROSSVAL(A,CLASSF,N,NREP,TESTFUN)
% R
www.eeworm.com/read/343764/11928470
m wideex1.m
%WIDEEX1 Test of direction-of-arrival estimation with conventional beamforming and MUSIC using simulated wideband signals.
%
% * DBT, A Matlab Toolbox for Radar Signal Processing *
% (c) FOA 1994