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/449504/7502205
m mlogit_d.m
% PURPOSE: An example of mlogit(),
% prt_reg().
% maximum likelihood estimation
% of multinomial logit model
%---------------------------------------------------
% USAGE:
www.eeworm.com/read/441245/7672689
m testk.m
%TESTK Error estimation of the K-NN rule
%
% E = TESTK(A,K,T)
%
% INPUT
% A Training dataset
% K Number of nearest neighbors (default 1)
% T Test dataset (default [], i.e. find leave-one-out e
www.eeworm.com/read/440842/7680333
m mlogit_d.m
% PURPOSE: An example of mlogit(),
% prt_reg().
% maximum likelihood estimation
% of multinomial logit model
%---------------------------------------------------
% USAGE:
www.eeworm.com/read/439462/7708299
m capon_sp.m
function phi=capon_sp(Y,L,d)
%
% The Capon method for direction of arrival estimation.
%
% phi=capon_sp(Y,L,d);
%
% Y
www.eeworm.com/read/299459/7850900
m contents.m
% Probability distribution estimation.
%
% emgmm - Expectation-Maximization Algorithm for GMM.
% melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture.
% mlcgmm - Maximal Li
www.eeworm.com/read/299459/7850917
m~ contents.m~
% Probability distribution estimation.
%
% emgmm - Expectation-Maximization Algorithm for GMM.
% melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture.
% mlcgmm - Maximal Li
www.eeworm.com/read/398973/7904561
txt xmemcof.txt
Coefficients for spectral estimation of spctrl.dat
a[ 0] = 1.261539
a[ 1] = -0.007695
a[ 2] = -0.646777
a[ 3] = -0.280602
a[ 4] = 0.163691
a[ 5] = 0.347675
a[ 6] = 0.111247
a[
www.eeworm.com/read/197624/7984192
m capon_sp.m
function phi=capon_sp(Y,L,d)
%
% The Capon method for direction of arrival estimation.
%
% phi=capon_sp(Y,L,d);
%
% Y
www.eeworm.com/read/245836/12778423
readme
Matlab scripts for spectral plots
J.P. Ampuero and H. Rendon (sept.2001)
V. Rocabado (april 2002)
spec_cmp.m : Plots power spectrum from SEM2DPACK simulations
------------ and overplots 1D estimat
www.eeworm.com/read/242663/12994222
m synchro.m
% synchronization
% estimation of the delay caused by the channel
% SNR should be estimated before using this function..
% training bits can maybe estimate this value (computations using variance