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/200258/15436070
asv weighted_huber_m_nlos_1.asv
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
% clc;
clear;
www.eeworm.com/read/200258/15436072
asv impulsive_iterative_huber_m_nlos.asv
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
% clc;
clear;
www.eeworm.com/read/200258/15436073
asv huber_m_nlos.asv
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
% clc;
clear;
www.eeworm.com/read/200258/15436074
m huber_m_nlos.m
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
clc;
clear;
www.eeworm.com/read/200258/15436075
m weighted_huber_m_nlos.m
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
% clc;
clear;
www.eeworm.com/read/200258/15436077
asv weighted_impulsive_iterative_huber_m_nlos.asv
% NLOS mitigation based on Huber M estimation
% 2007.3.18
% written by Tang Hong
% IEEE Trans. On signal processing,vol47,No.4, 1999
% " robust Huber adaptive filter"
% clc;
clear;
www.eeworm.com/read/291752/8398138
cpp realcorr_test_sim.cpp
//
// File = contindelay_sim.cpp
//
#define SIM_NAME "RealCorr_Test\0"
#define SIM_TITLE "Delay Estimation Testbed\0"
#include "global_stuff.h"
//=====================
// model includes
#
www.eeworm.com/read/291161/8439199
m doa.m
function [spec,theta,bearing] = doa(ymat, dspace, dtheta,nsource,order,delta)
%DOA Direction-of-arrival estimation.
% [spec,theta] = doa(ymat, dspace, dtheta,nsource,order,delta)
% ymat - sensor
www.eeworm.com/read/291161/8439243
m bispeci.m
function [Bspec,waxis] = bispeci (y,nlag,nsamp, overlap,flag, nfft, wind)
%BISPECI Bispectrum estimation using the indirect method.
% [Bspec,waxis] = bispeci (y,nlag,segsamp,overlap,flag,nfft, wind
www.eeworm.com/read/390412/8466394
m doa.m
function [spec,theta,bearing] = doa(ymat, dspace, dtheta,nsource,order,delta)
%DOA Direction-of-arrival estimation.
% [spec,theta] = doa(ymat, dspace, dtheta,nsource,order,delta)
% ymat - sensor