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/493843/6391502
m min_norm.m
function Px = min_norm(x,p,M)
%MIN_NORM Frequency estimation using the minimum norm algorithm.
%--------
%USAGE Px = min_norm(x,p,M)
%
% The input sequence x is assumed to consist of p complex
%
www.eeworm.com/read/493843/6391506
m bt_pc.m
function Px = bt_pc(x,p,M)
%BT_PC Frequency estimation using principal components Blackman-Tukey.
%-----
%USAGE Px = bt_pc(x,p,M)
%
% The spectrum of a process x is estimated using a principal
%
www.eeworm.com/read/493294/6399884
m knn_optk.m
function k = knn_optk(D,d)
%KNN_OPTK Optimization of k for the knndd
%
% k = knn_optk(D,d)
%
% Optimize the k for the knndd using leave-one-out density
% estimation. D is the distance matrix of the or
www.eeworm.com/read/492400/6422202
m knn_optk.m
function k = knn_optk(D,d)
%KNN_OPTK Optimization of k for the knndd
%
% k = knn_optk(D,d)
%
% Optimize the k for the knndd using leave-one-out density
% estimation. D is the distance matrix of the or
www.eeworm.com/read/492414/6422477
m rx_estimate_channel.m
% Channel estimation
function channel_estimate = rx_estimate_channel(freq_tr_syms, cir, sys_parm)
global ofdm_data_parm_const;
channel_estimate = ones(1, sys_parm.TotNumSubc);
www.eeworm.com/read/479763/6678352
m tdeb.m
function [delay,ctau] = tdeb (x,y, max_delay, nfft, wind, nsamp, overlap)
%TDEB Time Delay Estimation using conventional bispectrum method.
% [delay,ctau] = tdeb (x,y, max_delay, nfft, wind, segsa
www.eeworm.com/read/479763/6678370
m maest.m
function bvec = maest(y,q, norder,samp_seg,overlap,flag)
%MAEST MA parameter estimation via the GM-RCLS algorithm, with Tugnait's fix
% bvec = maest (y, q, norder, samp_seg, overlap, flag)
%
www.eeworm.com/read/402094/11543197
m welchse.m
function phi=welchse(y,v,K,L)
%
% The Welch method of spectral estimation.
%
% phi=welchse(y,v,K,L);
%
% y -> the data vector
% v -> the window vector
% K -> (j-1)K+1 is the starting p
www.eeworm.com/read/400576/11573455
m knn_optk.m
function k = knn_optk(D,d)
%KNN_OPTK Optimization of k for the knndd
%
% k = knn_optk(D,d)
%
% Optimize the k for the knndd using leave-one-out density
% estimation. D is the distance matrix of the or
www.eeworm.com/read/262547/11586989
m emd_sampling.m
% EMD_SAMPLING.M
%
% P. Flandrin, Mar. 13, 2003 - modified Mar. 2, 2006
%
% computes and plots an error measure in the EMD
% estimation of a single tone
%
% produces Figure 3 in
%
% G. Rilling, P. Fla