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/235546/14064267
m ofdmce2_mmse.m
% ofdmce2_mmse.m
%
% mmse 算法
% Programmed by T.Yamamura and H.Harada
%
% GI CE GI data GI data...(data 6symbols)
% (CE: Chanel estimation symbol, GI Guard interval)
%
function[ber,per]=ofdmc
www.eeworm.com/read/381017/9115174
m dd2m.m
function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar)
% DD2M
% This function performs a DD2-filtering; a state estimation for
% nonlinear systems that is based on s
www.eeworm.com/read/183070/9179529
m dd2m.m
function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar)
% DD2M
% This function performs a DD2-filtering; a state estimation for
% nonlinear systems that is based on s
www.eeworm.com/read/378897/9213879
m qam_ostbc2m_ls.m
%function BER2m_e = ostbc2m_e(M, frLen, numPackets, EbNo, pLen)
%OSTBC2M_E Orthogonal space-time block coding with channel estimation for
% 2xM antenna configurations.
% Suggested parameter
www.eeworm.com/read/378897/9213880
asv qam_ostbc2m_ls.asv
%function BER2m_e = ostbc2m_e(M, frLen, numPackets, EbNo, pLen)
%OSTBC2M_E Orthogonal space-time block coding with channel estimation for
% 2xM antenna configurations.
% Suggested parameter
www.eeworm.com/read/419623/10853212
m dd2m.m
function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar)
% DD2M
% This function performs a DD2-filtering; a state estimation for
% nonlinear systems that is based on seco
www.eeworm.com/read/303904/7783102
m em_gm.m
function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
% [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
%
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n
www.eeworm.com/read/198545/7929154
m rb_ml.m
function [beta,sebeta,gamma,segamma,dev]=rb_ml(y,x,z)
%RB_ML Maximum likelihood estimation for randomized block experiments.
% [BETA,SEBETA,GAMMA,SEGAMMA,DEV] = RB_ML(Y,X,Z) fits the model
% Y = X*
www.eeworm.com/read/245836/12778430
m spec_cmp_old.m
% 2D Amplification Ratio from SPECFEM data
% compared to 1D estimation
% -> contour plots
% H. Rendon and J.P. Ampuero - Sept. 2001
home; clear;
disp('This script plots 2D spectra from SPECFEM and co
www.eeworm.com/read/418431/6334678
m em_gm.m
function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
% [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
%
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n