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/407914/11408675

m gfcreatefilter2.m

function [g]=gfcreatefilter2(f0,theta,gamma,eta,n,varargin) % GFCREATEFILTER2 Create normalized 2-D Gabor filter in the spatial domain. % % G = GFCREATEFILTER2(F0,THETA,GAMMA,ETA,N,...) creates a %
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txt using_shp2sdo.txt

Example usage of the shape to sdo converter for Oracle9i Spatial and higher versions - on Windows NT: shp2sdo.exe states states -g geom -d -x (-180,180) -y (-90,90) -s 8307 -t 0.5 -v on Sun
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edu^ http:^^sal-cnc.me.wisc.edu^

Date: Wed, 11 Dec 1996 23:51:05 GMT Server: NCSA/1.4.2 Content-type: text/html Last-modified: Fri, 04 Oct 1996 18:10:25 GMT Content-length: 402 SPATIAL AUTOMATION LABORATORY
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m imnoise3.m

function [r, R, S] = imnoise3(M, N, C, A, B) %IMNOISE3 Generates periodic noise. % [r, R, S] = IMNOISE3(M, N, C, A, B), generates a spatial % sinusoidal noise pattern, r, of size M-by-N, its
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m imnoise3.m

function [r, R, S] = imnoise3(M, N, C, A, B) %IMNOISE3 Generates periodic noise. % [r, R, S] = IMNOISE3(M, N, C, A, B), generates a spatial % sinusoidal noise pattern, r, of size M-by-N, its
www.eeworm.com/read/326135/13163356

m imnoise3.m

function [r, R, S] = imnoise3(M, N, C, A, B) %IMNOISE3 Generates periodic noise. % [r, R, S] = IMNOISE3(M, N, C, A, B), generates a spatial % sinusoidal noise pattern, r, of size M-by-N, its
www.eeworm.com/read/355337/10274900

m~ cancer_test.m~

load /proj/finnwell/spatial/data/cancer2007/testdata/lungcancer_female_10years.mat name = sprintf('c%d_lungcancer_FIC_3exp_.mat',run); [n, nin] = size(xx); % $$$ gpcf1 = gpcf_st_exp('init',2,1,
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m cancer_test.m

load /proj/finnwell/spatial/data/cancer2007/testdata/lungcancer_female_10years.mat %name = sprintf('c%d_lungcancer_FIC_3exp_.mat',run); [n, nin] = size(xx); % $$$ gpcf1 = gpcf_st_exp('init',2,1,
www.eeworm.com/read/418841/10894626

m seal_det.m

function [zHat,wHat,nv,nf] = SEAL_det(mPhy,y,G,u,D,H,L); % % [zHat,wHat,nv,nf] = SEAL_det(mPhy,y,G,u,D,H,L) % % Given inputs - % % mPhy : the physical/spatial problem dimension, i.e., the number of t
www.eeworm.com/read/449504/7502968

m sdmp_g.m

function results = sdmp_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the heteroscedastic spatial durbin probit model % (I-rho*W)y = a + X*B1 + W*X*B2 + e, e = N(0,sige*V), V =