Dataset Groups Activity Stream Compressed Sensing Dataset The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements. BibTex: @dataset{Seung-Jean_Kim_and_K_Koh_and_M_Lustig_and_S_Boyd_and_D_Gorinevsky_2024, abstract = {The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements.}, author = {Seung-Jean Kim and K. Koh and M. Lustig and S. Boyd and D. Gorinevsky}, doi = {10.57702/xttriier}, institution = {No Organization}, keyword = {'Compressed Sensing', 'Gaussian Belief Propagation', 'Image Reconstruction', 'Sparse Recovery', 'compressed sensing', 'image processing'}, month = {dec}, publisher = {TIB}, title = {Compressed Sensing Dataset}, url = {https://service.tib.eu/ldmservice/dataset/compressed-sensing-dataset}, year = {2024} }
