代码搜索:Spatial
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Spatial econometrics functions library
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-------- matrix exponential model estima
www.eeworm.com/read/449504/7503063
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
% -------------------------------------
www.eeworm.com/read/448315/7535290
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
*
www.eeworm.com/read/439801/7701603
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
*
www.eeworm.com/read/314870/13557268
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
*
www.eeworm.com/read/313888/13579947
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
*
www.eeworm.com/read/313884/13580119
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
*
www.eeworm.com/read/479088/6699288
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
www.eeworm.com/read/479088/6699291
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
www.eeworm.com/read/410565/11276954
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