inv_kalman_diff

PURPOSE ^

INV_KALMAN_DIFF inverse solver for difference EIT

SYNOPSIS ^

function img= inv_kalman_diff( inv_model, varargin)

DESCRIPTION ^

 INV_KALMAN_DIFF inverse solver for difference EIT
 img= inv_kalman_diff( inv_model, data1, data2)

 img        => output image
 inv_model  => inverse model struct
 data1      => differential data at earlier time
 data2      => differential data at later time

 if inv_model.fwd_model.stimulation(:).delta_time
   exists and is non_zero, then the kalman filter will
   be applied to each data measurement separately

 Note that the classic Kalman filter assumes that the
   time step between each measurement is constant
   (ie as part of the state update eqn). inv_kalman_diff
   cannot work with non-constant time steps

 if inv_model.inv_kalman_diff.keep_K_k1 = 1
  then img outputs img.inv_kalman_diff.K_k1 = K_k1
  this can be used to estimate noise properties

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function img= inv_kalman_diff( inv_model, varargin)
0002 % INV_KALMAN_DIFF inverse solver for difference EIT
0003 % img= inv_kalman_diff( inv_model, data1, data2)
0004 %
0005 % img        => output image
0006 % inv_model  => inverse model struct
0007 % data1      => differential data at earlier time
0008 % data2      => differential data at later time
0009 %
0010 % if inv_model.fwd_model.stimulation(:).delta_time
0011 %   exists and is non_zero, then the kalman filter will
0012 %   be applied to each data measurement separately
0013 %
0014 % Note that the classic Kalman filter assumes that the
0015 %   time step between each measurement is constant
0016 %   (ie as part of the state update eqn). inv_kalman_diff
0017 %   cannot work with non-constant time steps
0018 %
0019 % if inv_model.inv_kalman_diff.keep_K_k1 = 1
0020 %  then img outputs img.inv_kalman_diff.K_k1 = K_k1
0021 %  this can be used to estimate noise properties
0022 
0023 % (C) 2005 Andy Adler. License: GPL version 2 or version 3
0024 % $Id: inv_kalman_diff.m 5701 2018-03-19 15:39:36Z aadler $
0025 
0026 warning('EIDORS:deprecated','INV_KALMAN_DIFF is deprecated as of 08-Jun-2012. Use INV_SOLVE_DIFF_KALMAN instead.');
0027 if isfield(inv_model,'inv_kalman_diff');
0028   inv_model.inv_solve_diff_kalman = inv_model.inv_kalman_diff;
0029 end
0030 img = inv_solve_diff_kalman(inv_model, varargin{:});

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