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/218840/14904552
m tder.m
function [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
%TDER Time-Delay Estimation using ML windowed cross-correlation
% [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
% s1
www.eeworm.com/read/216698/14997318
m tder.m
function [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
%TDER Time-Delay Estimation using ML windowed cross-correlation
% [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
% s1
www.eeworm.com/read/206661/15292427
m tder.m
function [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
%TDER Time-Delay Estimation using ML windowed cross-correlation
% [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
% s1
www.eeworm.com/read/470861/1443340
svn-base spm_mar_spectra_demo.m.svn-base
% Demo for MAR spectral estimation
f=10;
secs=2;
ns=100;
t=[1/ns:1/ns:secs]';
N=length(t);
noise_dev=0.1;;
noise1=noise_dev*randn(N,1);
noise2=noise_dev*randn(N,1);
delay=50; % ms delay
www.eeworm.com/read/293958/8260989
m statistics_classical_music_zhenyuan.m
%MUSIC ALOGRITHM
%DOA ESTIMATION BY CLASSICAL_MUSIC
clear all;
close all;
clc;
bbb=zeros(3,10);
for kk=1:10
sensor_number=[3 4 6 8 10 12 14 16 18 20];%阵元数
aaa=zeros(1,300);
for k=1:300
www.eeworm.com/read/293955/8261032
m forward_smoothness_music.m
%FORWARD_SMOOTHNESS_MUSIC ALOGRITHM
%DOA ESTIMATION BY FORWARD_SMOOTHNESS_MUSIC
clear all;
close all;
clc;
source_number=2;%信元数
sensor_number=8;%阵元数
N_x=1024; %信号长度
snapshot_number=N_x;%快拍数
www.eeworm.com/read/147862/12513598
m tder.m
function [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
%TDER Time-Delay Estimation using ML windowed cross-correlation
% [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
% s1
www.eeworm.com/read/147861/12513765
m doaspc1_s.m
function [sys,x0,str,ts] = doaspc1_s(t,x,u,flag,method,restParam)
%DOASPC1_S S-function for spectral DOA estimation.
%
%--------
%Synopsis:
% [sys,x0,str,ts] = pulfilt_s(t,x,u,flag,{noOutChan,taper
www.eeworm.com/read/248862/12537174
m tder.m
function [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
%TDER Time-Delay Estimation using ML windowed cross-correlation
% [delay,rxy] = tder(s1,s2,max_delay,segsamp,overlap,nfft)
% s1
www.eeworm.com/read/235546/14064123
m ofdmce4.m
% ofdmce4.m
%使用ls算法，对ofdmce1的另一种实现
%
%
% Programmed by T.Yamamura and H.Harada
%
% GI CE GI data GI data...(data 6symbols)
% (CE: Chanel estimation symbol, GI Guard interval)
%
function[be