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A real application of Compressed Sensing citing our work was published in a Nature journal

Writer: Cesar CaiafaCesar Caiafa

The authors, Isaac August, Yaniv Oiknine, Marwan AbuLeil, Ibrahim Abdulhalim & Adrian Stern, approache Spectroscopic Imaging as a Compressed Sensing problem with a sensing matrix having a Kronecker structure, which translated to the language of Tensor Decompositions means having a Tucker factorization model with a sparse core tensor. These sparse tensor decomposition models were studied reviewed in one of our papers 3 years ago (Caiafa, C. F. & Cichocki, A. Multidimensional compressed sensing and their applications. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3, 355–380 (2013).


 
 
 

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