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/491219/6441874

h genmod.h

// //Please find details of the method from // // Q. Zhang, A. Zhou and Y. Jin, "RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm", IEEE Trans. Evolutionary Com
www.eeworm.com/read/479763/6678374

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/479763/6678388

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/405069/11472179

m minimum_cost.m

function test_targets = Minimum_Cost(train_patterns, train_targets, test_patterns, lambda) % Classify using the minimum error criterion via histogram estimation of the densities % Inputs: % trai
www.eeworm.com/read/402094/11543204

m yulewalker.m

function [a,sig2]=yulewalker(y,n) % % The Yule-Walker method for AR spectral estimation, given % by equation (3.4.2). % % [a,sig2]=yulewalker(y,n); % % y -> the data vector % n -> AR
www.eeworm.com/read/158149/11641798

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/158149/11641841

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/158100/11643519

m psdavper.m

function [R,varx]=psdavper(x,L,NFFT) % % [R,r]=psdavper(x,L,NFFT) performs % PSD estimation using periodogram averaging % with 50% segment overlapping % r=autocorrelation estimate % R=psd estima
www.eeworm.com/read/155543/11864078

m psdavper.m

function [R,varx]=psdavper(x,L,NFFT) % % [R,r]=psdavper(x,L,NFFT) performs % PSD estimation using periodogram averaging % with 50% segment overlapping % r=autocorrelation estimate % R=psd estima
www.eeworm.com/read/257436/11927361

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 #