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

The paper is "Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder" by a team from University of the Negev, Israel.

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).