代码搜索:Spatial

找到约 1,342 项符合「Spatial」的源代码

代码结果 1,342
www.eeworm.com/read/159487/10646022

m mimo_svd_flat.m

%***************************************************** % SVD receiver demo on flat fading MIMO channel. % no antenna spatial correlation %***************************************************** cl
www.eeworm.com/read/449504/7502270

m optim2_d.m

% PURPOSE: An example using fmin function % % to solve a spatial autoregressive model maximum % likelihood problem %----------------------------
www.eeworm.com/read/449504/7503030

m moran_d.m

% PURPOSE: An example of using moran() % to test for spatial error correlation % on a small data set %--------------------------------------------------- % USA
www.eeworm.com/read/449504/7503034

m lratios_d.m

% PURPOSE: An example of using lratios() % to test for spatial error correlation % on a small data set %--------------------------------------------------- % USAGE
www.eeworm.com/read/449504/7503035

m lmerror_d.m

% PURPOSE: An example of using lmerror() % to test for spatial error correlation % on a small data set %--------------------------------------------------- % USAGE
www.eeworm.com/read/284782/8898758

m sar_panel.m

function results = sar_panel(y,x,W,T,info) % PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods) % y = p*W*y + X*b + e, using sparse matrix algorith
www.eeworm.com/read/284782/8898790

m sem_panel.m

function results = sem_panel(y,x,W,T,info) % PURPOSE: computes spatial error model estimates for spatial panels (N regions*T time periods) % y = XB + u, u = p*W*u + e, using sparse algori
www.eeworm.com/read/382927/8990215

m sar_panel.m

function results = sar_panel(y,x,W,T,info) % PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods) % y = p*W*y + X*b + e, using sparse matrix algorith
www.eeworm.com/read/382927/8990239

m sem_panel.m

function results = sem_panel(y,x,W,T,info) % PURPOSE: computes spatial error model estimates for spatial panels (N regions*T time periods) % y = XB + u, u = p*W*u + e, using sparse algori
www.eeworm.com/read/449504/7502826

m sar_panel.m

function results = sar_panel(y,x,W,T,info) % PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods) % y = p*W*y + X*b + e, using sparse matrix algorith