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Polar-TSP-code-V2 (0, 2014-08-05)
Polar-TSP-code-V2\.DS_Store (15364, 2014-08-05)
__MACOSX (0, 2014-08-05)
__MACOSX\Polar-TSP-code-V2 (0, 2014-08-05)
__MACOSX\Polar-TSP-code-V2\._.DS_Store (120, 2014-08-05)
Polar-TSP-code-V2\approximation_error_analysis (0, 2014-07-24)
Polar-TSP-code-V2\approximation_error_analysis\approximation_error_analysis.m (2430, 2014-07-21)
Polar-TSP-code-V2\approximation_error_analysis\approximation_error_analysis.tikz (3808, 2014-07-21)
Polar-TSP-code-V2\experiments (0, 2014-08-05)
Polar-TSP-code-V2\experiments\.DS_Store (15364, 2014-08-05)
__MACOSX\Polar-TSP-code-V2\experiments (0, 2014-08-05)
__MACOSX\Polar-TSP-code-V2\experiments\._.DS_Store (120, 2014-08-05)
Polar-TSP-code-V2\experiments\run_all.m (199, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._run_all.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta0_kappa04_measSNRsweep.m (1865, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta0_kappa04_measSNRsweep.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta0_kappasweep_measSNR1000.m (1870, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta0_kappasweep_measSNR1000.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta1_kappa04_measSNRsweep.m (1925, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta1_kappa04_measSNRsweep.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta1_kappa04_sigSNRsweep.m (1919, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta1_kappa04_sigSNRsweep.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta1_kappa1_sigSNRsweep.m (1914, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta1_kappa1_sigSNRsweep.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tde_K3_eta1_kappasweep_measSNR1000.m (1930, 2014-07-23)
__MACOSX\Polar-TSP-code-V2\experiments\._tde_K3_eta1_kappasweep_measSNR1000.m (120, 2014-07-23)
Polar-TSP-code-V2\experiments\tmp (0, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48883207.mat (22890, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48884167.mat (22881, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48885115.mat (22749, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48886027.mat (24653, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48886920.mat (24607, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48887807.mat (22784, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48889007.mat (22727, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48889659.mat (22836, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappa04_measSNRsweep_48890477.mat (22814, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappasweep_measSNR1000_48911693.mat (26239, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappasweep_measSNR1000_48912583.mat (26354, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappasweep_measSNR1000_48913492.mat (26403, 2014-07-29)
Polar-TSP-code-V2\experiments\tmp\tde_K3_eta0_kappasweep_measSNR1000_48914379.mat (26334, 2014-07-29)
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This is the MATLAB code supporting the paper: "COMPRESSIVE PARAMETER ESTIMATION FOR SPARSE TRANSLATION-INVARIANT SIGNAL USING POLAR INTERPOLATION", submitted for publication in Transactions on Signal Processing in 2013. In the root directory there are two scripts and two functions: - NUMEXP_TDE_EXAMPLE.M is an example script that runs a small scale experiment, similar to Figure 3, 4 and 5 in the paper. - SIMPLE_TDE_EXAMPLE.M is an example script that solves one estimation problem. - TDE_MAIN.M is the main numerical experiment function, which runs a number of numerical experiments. This function calls the STICS_NUMEXP.M function. - STICS_NUMEXP.M is the implementation of a single numerical experiment. The root directory also contains eight subfolders: - APPROXIMATION_ERROR_ANALYSIS contains the script for generating Figure 1 in the paper. - EXPERIMENTS contains the scripts for performing the different numerical experiments that generate Figure 3, 4 and 5 in the paper. - LAMBDA_ANALYSIS contains the scripts for generating Figure 2 in the paper - MISC contains various helper functions. - RECON_ALGORITHMS contains the implementation of the six algorithms tested in the paper: BOMP, PaIBOMP, TDE-MUSIC, CCBP, PaIBOMP+CCBP and PoIBOMP. - RESULTS_AND_PLOTTING contains functions for plotting the results generated by the scripts in the EXPERIMENTS folder. This folder also contains all the mat-files that generate the exact figures used in the paper. - SIGNAL_GENERATORS contains the functions to generate the linear chirp signals. - SPARK_ANALYSIS contains the scripts for finding the upper bound on the Spark of the different dictionary matrices. Some of the algorithms in this package requires the CVX package to run: http://cvxr.com/cvx/ If you have any questions or suggestions for improvements, feel free to contact me. Karsten Fyhn kfn@es.aau.dk

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