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html
html
 
 
mex
mex
 
 
tests
tests
 
 
toolbox
toolbox
 
 
callback_atrou.m
callback_atrou.m
 
 
callback_blurring.m
callback_blurring.m
 
 
callback_dct_wavelets.m
callback_dct_wavelets.m
 
 
callback_dictionary.m
callback_dictionary.m
 
 
callback_doubleoperator.m
callback_doubleoperator.m
 
 
callback_fft.m
callback_fft.m
 
 
callback_identity.m
callback_identity.m
 
 
callback_inpainting.m
callback_inpainting.m
 
 
callback_localdct.m
callback_localdct.m
 
 
callback_sensing_rand.m
callback_sensing_rand.m
 
 
callback_tomography.m
callback_tomography.m
 
 
compile_mex.m
compile_mex.m
 
 
compute_coherenc.m
compute_coherenc.m
 
 
compute_coherence.m
compute_coherence.m
 
 
compute_coherence_criterion.m
compute_coherence_criterion.m
 
 
compute_compressed_sensing_matrix.m
compute_compressed_sensing_matrix.m
 
 
compute_erc_criterion.m
compute_erc_criterion.m
 
 
compute_fuchs_criterion.m
compute_fuchs_criterion.m
 
 
compute_inpainting_mask.m
compute_inpainting_mask.m
 
 
compute_minimum_scale.m
compute_minimum_scale.m
 
 
compute_rand_sparse.m
compute_rand_sparse.m
 
 
compute_recovery_rate.m
compute_recovery_rate.m
 
 
compute_redundant_dictionary.m
compute_redundant_dictionary.m
 
 
compute_sparse_spike_filter.m
compute_sparse_spike_filter.m
 
 
compute_synthetic_dictionary.m
compute_synthetic_dictionary.m
 
 
compute_tomography_mask.m
compute_tomography_mask.m
 
 
compute_werc_criterion.m
compute_werc_criterion.m
 
 
content.m
content.m
 
 
display_dictionnary.m
display_dictionnary.m
 
 
load_random_patches.m
load_random_patches.m
 
 
perform_analysis_regularization.m
perform_analysis_regularization.m
 
 
perform_bp_benchmark.m
perform_bp_benchmark.m
 
 
perform_bregman_l1.m
perform_bregman_l1.m
 
 
perform_cs_matrix_optimization.m
perform_cs_matrix_optimization.m
 
 
perform_debiasing.m
perform_debiasing.m
 
 
perform_dictionary_learning.m
perform_dictionary_learning.m
 
 
perform_dictionary_signature_learning.m
perform_dictionary_signature_learning.m
 
 
perform_douglas_rachford.m
perform_douglas_rachford.m
 
 
perform_iterative_thresholding.m
perform_iterative_thresholding.m
 
 
perform_iterative_thresholding__old.m
perform_iterative_thresholding__old.m
 
 
perform_l1_recovery.m
perform_l1_recovery.m
 
 
perform_l1ball_projection.m
perform_l1ball_projection.m
 
 
perform_linear_inpainting.m
perform_linear_inpainting.m
 
 
perform_mca.m
perform_mca.m
 
 
perform_mp.m
perform_mp.m
 
 
perform_omp.m
perform_omp.m
 
 
perform_omp_mex.mexmaci
perform_omp_mex.mexmaci
 
 
perform_orthogonal_learning_clustering.m
perform_orthogonal_learning_clustering.m
 
 
perform_tv_denoising.m
perform_tv_denoising.m
 
 
plot_sparse_diracs.m
plot_sparse_diracs.m
 
 
publish_html.m
publish_html.m
 
 
readme
readme
 
 

readme

Toolbox sparsity - sparsity-based signal processing related functions.

This toolbox contains functions related to sparsity optimization in signal processing, including 
* general purpose sparse solvers, including OMP, BP and iterative thresholding.
* bilinear optimizers for dictionary design (KSVD and MOD).
* compressed sensing functions.
* theoritical bounds to ensure recovery with L1 optimization (coherence, ERC).
* Morphological Component Analysis algorithm for image separation and inpainting.
* Various helpers functions.

Copyright (c) 2007 Gabriel Peyre