fourD_prior_solve-- inverse solver to account for temporal and 3D spatial correlation img= fourD_prior_solve( inv_model, data1, data2) img => output image (or vector of images) inv_model => inverse model struct data1 => differential data at earlier time data2 => differential data at later time both data1 and data2 may be matrices (MxT) each of M measurements at T times if either data1 or data2 is a vector, then it is expanded to be the same size matrix
0001 function img= fourD_prior_solve( varargin ) 0002 % fourD_prior_solve-- inverse solver to account for temporal 0003 % and 3D spatial correlation 0004 % img= fourD_prior_solve( inv_model, data1, data2) 0005 % img => output image (or vector of images) 0006 % inv_model => inverse model struct 0007 % data1 => differential data at earlier time 0008 % data2 => differential data at later time 0009 % 0010 % both data1 and data2 may be matrices (MxT) each of 0011 % M measurements at T times 0012 % if either data1 or data2 is a vector, then it is expanded 0013 % to be the same size matrix 0014 0015 % (C) 2007, Tao Dai and Andy Adler. Licenced under the GPL Version 2 0016 % $Id: fourD_prior_solve.m 3111 2012-06-08 15:08:38Z bgrychtol $ 0017 0018 warning('EIDORS:deprecated','FOURD_PRIOR_SOLVE is deprecated as of 08-Jun-2012. Use INV_SOLVE_4D_PRIOR instead.'); 0019 img = inv_solve_4d_prior(varargin{:});