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/138743/5814005
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/134901/5891577
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/134901/5891578
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/349590/6291669
m aplatest.m
function [k,var] = aplatest(x,P)
% Estimation of All-Pole lattice parameters using LS Forward/Backward
% error minimization using Burg approach
% [k,var] = aplatest(x,P)
% Inputs:
% x : signa
www.eeworm.com/read/331502/6327328
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/331502/6327344
m bicepsf.m
function [hest,ceps] = bicepsf (y,nlag,nsamp, overlap,flag, nfft, wind)
%BICEPSF Non-parametric IR estimation using the bicesptrum (FFT method)
% [hest, ceps] = bicepsf (y,nlag,segsamp,overlap,flag,
www.eeworm.com/read/493843/6391503
m ev.m
function Px = ev(x,p,M)
%EV Frequency estimation using the eigenvector method
%--
%USAGE Px = ev(x,p,M)
%
% The input sequence x is assumed to consist of p complex
% exponentials in white noise.
www.eeworm.com/read/489609/6466726
changes
$Id: CHANGES 151 2007-10-17 13:03:06Z bhm $
Changes in 2.1-0
================
New features:
-------------
- Jackknife variance estimation of regression coefficients are now available.
(Note that t
www.eeworm.com/read/487211/6516781
asv normalizedalarm.asv
%to produce the missing alarm of SIR state estimation and smoothed residual
close all;
clear all;
n = 1:600;%sample steps
stdw = sqrt(10);
ngrid = 50;
npar = 500;%particle number
N = length(n);
www.eeworm.com/read/487211/6516782
m faultalarmresidual.m
%to produce the fault alarm of SIR state estimation and smoothed residual
close all;
clear all;
n = 1:600;%sample steps
stdw = sqrt(10);
ngrid = 50;
npar = 500;%particle number
N = length(n);