GN_abs_solve | GN_ABS_SOLVER absolute solver using Gauss Newton approximation |
aa_calc_jacobian | AA_CALC_JACOBIAN: J= aa_calc_jacobian( fwd_model, img) |
aa_calc_system_mat | AA_CALC_SYSTEM_MAT: SS= aa_calc_system_mat( fwd_model, img) |
aa_e_move_image_prior | AA_E_MOVE_IMAGE_PRIOR calculate image prior |
aa_e_move_jacobian | AA_E_MOVE_JACOBIAN: J= aa_e_move_jacobian( fwd_model, img) |
aa_fwd_parameters | AA_FWD_PARAMETERS: data= aa_fwd_solve( fwd_model, image) |
aa_fwd_solve | AA_FWD_SOLVE: data= aa_fwd_solve( fwd_model, img) |
aa_inv_conj_grad | AA_INV_CONJ_GRAD inverse solver based on the CG |
aa_inv_solve | AA_INV_SOLVE inverse solver using approach of Adler&Guardo 1996 |
aa_system_mat_fields | AA_SYSTEM_MAT_FIELDS: fields (elem to nodes) fraction of system mat |
ab_calc_tv_prior | AB_PRIOR_TV calculate Total Variation image prior |
ab_tv_diff_solve | AB_TV_DIFF_SOLVE inverse solver for Andrea Borsic's |
ab_tv_lagged_diff | AB_TV_LAGGED_DIFF Lagged Diffusivity Inverse Solver |
backproj_solve | BACKPROJ_SOLVE inverse solver using backprojection |
bld_master | function [Ef,D,Ela] = bld_master(vtx,simp,mat_ref); |
bld_master_full | function [Ef,D,Ela] = bld_master_full(vtx,simp,mat,elec,zc); |
calc_covar_prior | CALC_COVAR_PRIOR image prior with distance-based interelement covar |
calc_move_jacobian | CALC_MOVE_JACOBIAN Computes the Jacobian matrix for conductivity and |
calc_noise_params | params = GREIT_noise_params(imdl, homg_voltage, sig_voltage) |
center_of_simps | CENTER_OF_SIMPS: Calculates the Center of Mass of the Simplicies. |
convert_units | CONVERT_IMG_UNITS change image data units |
edge_refined_elem_mapper | EDGE_REFINED_ELEM_MAPPER: map elements from coarse to dense model |
edge_refined_node_mapper | EDGE_REFINED_NODE_MAPPER: |
eidors_model_params | mdl = eidors_model_params( mdl ); |
elems_in_cylinder | INCYL: calculate elements in infinite cylinder |
exponential_covar_prior | EXPONENTIAL_COVAR_PRIOR image prior with exponential |
fem_master_full | function [E,D,Ela,pp] = fem_master_full(vtx,simp,mat,gnd_ind,elec,zc,perm_sym); |
filter_jacobian | FILTER_JACOBIAN: J= filter_jacobian( fwd_model, img) |
forward_solver | [V] = forward_solver(E,I,tol,pp,V); |
fourD_prior_solve | fourD_prior_solve-- inverse solver to account for temporal |
gaussian_HPF_prior | GAUSSIAN_HPF_PRIOR calculate image prior |
gaussian_prior_likelyhood | Parameters for image |
get_3d_meas | GET_3D_MEAS: extracts multiplane voltage measurements from a calculated |
get_multi_meas | function [voltage,ind,df] = get_multi_meas(protocol,elec,V,I,vtx,no_pl); |
image_levels | IMAGE_LEVELS(img, levels, clim ) show slices at levels of an image |
integrofgrad | function [IntGrad] = integrofgrad(vtx,simp,mat_ref); |
inv_kalman_diff | INV_KALMAN_DIFF inverse solver for difference EIT |
inv_solve_abs_CG | inv_solve_abs_CG is deprecated in favour of inv_solve_cg |
inv_solve_abs_GN | inv_solve_abs_GN is deprecated in favour of inv_solve_gn |
inv_solve_abs_core | inv_solve_abs_core is deprecated in favour of inv_solve_core |
inv_solve_dual_mesh | INV_SOLVE_DUAL_MESH using a coarse and fine mesh |
inverse_solver | function [solf,solp] = inverse_solver(I,voltage,tol,mat_ref,vtx,simp,elec,no_pl,zc,perm_sym,gnd_ind,tfac,Reg,it); |
iso_f_smooth | function [Reg] = iso_f_smooth(simp,vtx,deg,w); |
iso_s_smooth | function [Reg] = iso_s_smooth(simp,vtx,deg,w); |
jacobian_3d | function [J] = jacobian_3d(I,elec,vtx,simp,gnd_ind,mat_ref,zc,v_f,df,tol,perm_sym); |
jacobian_3d_fields | [J] = jacobian_3d_fields(V,Ela,D,elec,vtx,simp,mat_ref,v_f,df, c2f); |
jacobian_3d_with_fields | JACOBIAN_3D_WITH_FIELDS: calculate jacobian_3d, but accept V fields as |
laplace_image_prior | LAPLACE_IMAGE_PRIOR calculate image prior |
m_3d_fields | function [v_f] = m_3d_fields(vtx,el_no,m_ind,E,tol,gnd_ind,v_f); |
manchester_tomography | Example to show reconstructions from |
mapper_nodes_elems | MAPPER_ELEMS_NODES: calculates mapping function taking elems to nodes |
mcmc_solve | NP_INV_SOLVE inverse solver for Nick Polydorides EIDORS3D code |
noser_image_prior | NOSER_IMAGE_PRIOR calculate image prior |
np_calc_3d_fields | NP_CALC_3D_FIELDS: J= np_calc_3d_fields( fwd_model, img) |
np_calc_image_prior | NP_CALC_IMAGE_PRIOR calculate image prior |
np_calc_jacobian | NP_CALC_JACOBIAN: J= np_calc_jacobian( fwd_model, img) |
np_calc_system_mat | NP_CALC_SYSTEM_MAT: s_mat= np_calc_system_mat( fwd_model, img) |
np_fwd_parameters | NP_FWD_PARAMETERS: data= np_fwd_solve( fwd_model ) |
np_fwd_solve | NP_FWD_SOLVE: data= np_fwd_solve( fwd_model, img) |
np_inv_solve | NP_INV_SOLVE inverse solver for Nick Polydorides EIDORS3D code |
pdipm_abs | PDIPM_ABS inverse solver for absolute data using Primal/Dual interior point method |
pdipm_diff | PDIPM_DIFF inverse solver for difference data using Primal/Dual interior point method |
perturb_jacobian | PERTURB_JACOBIAN: J= perturb_jacobian( fwd_model, img) |
ref_master | function [Er] = ref_master(E,vtx,gnd_ind,sch); |
set_3d_currents | function [I,Ib]=set_3d_currents(protocol,elec,vtx,gnd_ind,no_pl); |
set_fwd_model | SET_FWD_MODEL: create EIDORS v3 fwd_model from v2 parameters |
set_multi_currents | function [I,Ib] = set_multi_currents(protocol,elec,vtx,gnd_ind,no_pl); |
tikhonov_image_prior | TIKHONOV_IMAGE_PRIOR calculate image prior |
time_prior_solve | TIME_PRIOR_SOLVE inverse solver to account for time differences |
time_smooth_prior | TIME_SMOOTH_PRIOR calculate image prior |