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/317622/13500888
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/316604/13520465
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/314653/13562286
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/314653/13562509
m crossval.m
%CROSSVAL Error estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(A,CLASSF,N,1,FID)
% [ERR,STDS] = CROSSVAL(A,CLASSF,N,NREP,FID)
%
% INPUT
% A Input
www.eeworm.com/read/307102/13728938
m mafi_v2.m
function [Y, Rhh,Y1] = mafi(r,Lh,T_SEQ,OSR)
%
% MAFI: This function performes the tasks of channel impulse
% respons estimation, bit syncronization, matched
% filtering an
www.eeworm.com/read/150763/5689155
c codeml.c
/* CODEML.c (AAML.c & CODONML.c)
Maximum likelihood parameter estimation for codon sequences (seqtype=1)
or amino-acid sequences (seqtype=2)
Copyright, Zi
www.eeworm.com/read/138743/5814032
m wt04fig22.m
%CAPTION
fprintf('\n');
disp('Figure 4.22')
disp('Window 1: Realization of a locally stationary process.')
disp('Window 2: Estimation of the Wigner-Ville spectrum calculated by')
disp('averaging
www.eeworm.com/read/291067/6302994
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
www.eeworm.com/read/493843/6391485
m phd.m
function [a,sigma] = phd(x,p)
%PHD Frequency estimation using the Pisarenko harmonic decomposition.
%---
%USAGE [a,sigma] = phd(x,p)
%
% The input sequence x is assumed to consist of p complex
%
www.eeworm.com/read/493843/6391500
m minvar.m
function Px = minvar(x,p)
%MINVAR Spectrum estimation using the minimum variance method.
%----
%USAGE Px = minvar(x,p)
%
% The spectrum of a process x is estimated using the minimum
% variance