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/273525/4209178
ado _svylc.ado
*! version 1.3.4 20jan2004
program define _svylc, rclass
version 6
if `"`0'"'=="" {
error 198
}
/* Check if last command was a -svy- estimation command. */
is_svy
local is_svy `r(
www.eeworm.com/read/430037/1942746
m pr2_48.m
%Problem 2.48;
%Experimental estimation of error probability for uncoded and orthogonally
%encoded m-ary transmission;
clear all; close all;
Sb=ones(1,64); %bit pulse oversampled 64 times;
Nb=i
www.eeworm.com/read/427864/1964781
m wt10fig12.m
%CAPTION :
fprintf('\n');
disp('Figure 10.12')
disp('Window 1: Piece-wise polynomial signal to which is added a')
disp('musical signal (SNR=19.3db).')
disp('Window 2: Estimation by extracting coh
www.eeworm.com/read/396844/2407873
m arqr.m
function [R, scale]=arqr(v, p, mcor)
%ARQR QR factorization for least squares estimation of AR model.
%
% [R, SCALE]=ARQR(v,p,mcor) computes the QR factorization needed in
% the least squares estima
www.eeworm.com/read/384673/2598520
m wt10fig12.m
%CAPTION :
fprintf('\n');
disp('Figure 10.12')
disp('Window 1: Piece-wise polynomial signal to which is added a')
disp('musical signal (SNR=19.3db).')
disp('Window 2: Estimation by extracting coh
www.eeworm.com/read/376881/2706669
m~ mlcgmm.m~
function model=mlcgmm(data,cov_type)
% MLCGMM Maximal Likelihood estimation of Gaussian mixture model.
%
% Synopsis:
% model = mlcgmm(X)
% model = mlcgmm(X,cov_type)
% model = mlcgmm(data)
% mode
www.eeworm.com/read/376881/2706670
m mlcgmm.m
function model=mlcgmm(data,cov_type)
% MLCGMM Maximal Likelihood estimation of Gaussian mixture model.
%
% Synopsis:
% model = mlcgmm(X)
% model = mlcgmm(X,cov_type)
% model = mlcgmm(data)
% mode
www.eeworm.com/read/371708/2779028
m mlcgmm.m
function model=mlcgmm(data,cov_type)
% MLCGMM Maximal Likelihood estimation of Gaussian mixture model.
%
% Synopsis:
% model = mlcgmm(X)
% model = mlcgmm(X,cov_type)
% model = mlcgmm(data)
% mode
www.eeworm.com/read/395191/8191156
m bispecdx.m
function [Bspec,waxis] = ...
bispecdx (x, y, z, nfft, wind, nsamp, overlap,plotflag)
%BISPECDX Cross-Bispectrum estimation using the direct (fft-based) approach.
% [Bspec,waxis] = bispecdx (x,y
www.eeworm.com/read/193442/8226743
m haoren.m
%classical high resolution DOA estimation algorithm
%including Bartlett beamforming algorithm;Capon algorithm;Esprit;
%MUSIC; WSF; etc;
clear all; close all;clc;
J=sqrt(-1);
source_number=3;
s