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/444270/7615459
m amp_detect.m
function [spikes,thr,index] = amp_detect(x,handles);
% Detect spikes with amplitude thresholding. Uses median estimation.
% Detection is done with filters set by fmin_detect and fmax_detect. Spikes
www.eeworm.com/read/444270/7615475
m amp_detect_wc.m
function [spikes,thr,index] = amp_detect(x,handles);
% Detect spikes with amplitude thresholding. Uses median estimation.
% Detection is done with filters set by fmin_detect and fmax_detect. Spikes
www.eeworm.com/read/441245/7673241
m testc.m
%TESTC Test classifier, error / performance estimation
%
% [E,C] = TESTC(A*W,TYPE)
% [E,C] = TESTC(A,W,TYPE)
% E = A*W*TESTC([],TYPE)
%
% [E,F] = TESTC(A*W,TYPE,LABEL)
% [E,F] = TESTC(A,
www.eeworm.com/read/439462/7708287
m daniellse.m
function phi=daniellse(y,J,L)
%
% Spectral estimation using the Daniell method.
%
% phi=daniellse(y,J,L);
%
% y -> the data vecto
% J -> 2J+1 = the number of frequency samples to aver
www.eeworm.com/read/439462/7708303
m root_music_doa.m
function doa=root_music_doa(Y,n,d)
%
% The MUSIC method for direction of arrival estimation
%
% call doa=root_music_doa(Y,n,d)
%
% Y
www.eeworm.com/read/437944/7739066
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/437944/7739083
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/434843/7800933
m t_synth.m
function [sm,lm,tcon]=t_synth(varargin)
% T_SYNTH Monte-Carlo test of the error estimation using synthetic data
% A single test of the harmonic analysis involves:
%
% 1) Generation of a "pure" t
www.eeworm.com/read/299459/7850910
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/299459/7850913
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