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/451710/7457855
m layermappingforspatialmultiplexingtwocodewords.m
function [x]=layerMappingForSpatialMultiplexingTwoCodeWords(numberOfLayers,d0,d1)%layer mapping for spatial multiplexing two code words
% d0=[1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16]
% d1=[1 2 3 4 5
www.eeworm.com/read/451710/7457860
asv layermappingforspatialmultiplexingtwocodewords.asv
function [x]=layerMappingForSpatialMultiplexingTwoCodeWords(numberOfLayers,d0,d1)%layer mapping for spatial multiplexing two code words
% d0=[1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16]
% d1=[1 2 3 4 5
www.eeworm.com/read/449504/7502781
log ws_ftp.log
2005.01.31 08:16 B C:\jpl\toolbox_feb04\ucsd_garch\contents.html 209.240.1
www.eeworm.com/read/449504/7502978
m sem2_gmm.m
function results=sem2_gmm(y,x,W1,W2,options)
% PURPOSE: computes Method of Moments Estimates for Spatial Error Model
% using 2 weight matrices
% y = XB + u, u = p1*W1*u + p2*W2
www.eeworm.com/read/323119/13352496
result gis-rtree.result
DROP TABLE IF EXISTS t1, t2;
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
g GEOMETRY NOT NULL,
SPATIAL KEY(g)
) ENGINE=MyISAM;
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TAB
www.eeworm.com/read/398634/2375090
result gis-rtree.result
DROP TABLE IF EXISTS t1, t2;
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
g GEOMETRY NOT NULL,
SPATIAL KEY(g)
) ENGINE=MyISAM;
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TAB
www.eeworm.com/read/358128/3004114
result gis-rtree.result
DROP TABLE IF EXISTS t1, t2;
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
g GEOMETRY NOT NULL,
SPATIAL KEY(g)
) ENGINE=MyISAM;
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TAB
www.eeworm.com/read/303435/3811178
main suspeck1k2.su.main
SUSPECK1K2 - 2D (K1,K2) Fourier SPECtrum of (x1,x2) data set
suspeck1k2 outfile [optional parameters]
Optional parameters:
d1=from header(d1) or 1.0 spatial sampling interv
www.eeworm.com/read/449504/7502842
m f_sac.m
function llike = f_sac(parm,y,x,W1,W2,det1,det2)
% PURPOSE: evaluates log-likelihood for general spatial model
% y = rho*W1*y + X*b + u, u = lam*W2*u + e,
% using sparse matrix algori
www.eeworm.com/read/484493/6577797
m ex36ch2.m
function ex36ch2
% Quench front problem
global J h u_c A N
A = 2.0d5;
u_c = 0.5;
N = 50;
% Spatial grid:
h = 1 / (N + 1);
x = h * (1:N);
% Initial solution:
u0 = zeros(N,1);
for i = 1:N
if x(i) >=