代码搜索:Spatial

找到约 1,342 项符合「Spatial」的源代码

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Spatial econometrics functions library [Return to Master Index] -------- matrix exponential model estima
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m sar.m

function results = sar(y,x,W,info) % PURPOSE: computes spatial autoregressive model estimates % y = p*W*y + X*b + e, using sparse matrix algorithms % -------------------------------------
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c scm_mex_core.c

/** * scm_mex_core.c * * This file contains functions for calculation of Spatial channel model for * Multiple Input Multiple Output (MIMO) simulations. It also has a mex gateway function *
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c scm_mex_core.c

/** * scm_mex_core.c * * This file contains functions for calculation of Spatial channel model for * Multiple Input Multiple Output (MIMO) simulations. It also has a mex gateway function *
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c scm_mex_core.c

/** * scm_mex_core.c * * This file contains functions for calculation of Spatial channel model for * Multiple Input Multiple Output (MIMO) simulations. It also has a mex gateway function *
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c scm_mex_core.c

/** * scm_mex_core.c * * This file contains functions for calculation of Spatial channel model for * Multiple Input Multiple Output (MIMO) simulations. It also has a mex gateway function *
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c scm_mex_core.c

/** * scm_mex_core.c * * This file contains functions for calculation of Spatial channel model for * Multiple Input Multiple Output (MIMO) simulations. It also has a mex gateway function *
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m noisesect.m

function noisemat = noisesect(noisesig,sect,desiren) % % Select the region composed by noise in spatial domain. % [m,n]=size(noisesig); if m == 1 m = n; n = 1; noisesig=no
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m cleaning3.m

function [cleaned, indexc] = cleaning3(data,origin,mm,nn,Pfa); % % Cleanes the data in the spatial domain to raise % SNR. The noise level is estimated using Weibull % distribution an
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java idct.java

/* * The discrete cosine transform (DCT) converts an 8 by 8 block of pel * values to an 8 by 8 matrix of horizontal and vertical spatial frequency * coefficients. An 8 by 8 block of pel values