Besson, Adrien Georges JeanPerdios, DimitrisWiaux, YvesThiran, Jean-Philippe2017-10-302017-10-302017-10-30201810.1109/ICASSP.2018.8461767https://infoscience.epfl.ch/handle/20.500.14299/141683This paper considers the problem of reconstructing raw signals from random projections in the context of time-of-flight imaging with an array of sensors. It presents a new signal model, coined as multi-channel pulse-stream model, which exploits pulse-stream models and accounts for additional structure induced by inter-sensor dependencies. We propose a sampling theorem and a reconstruction algorithm, based on l1-minimization, for signals belonging to such a model. We demonstrate the benefits of the proposed approach by means of numerical simulations and on a real nondestructive- evaluation application where the peak-signal-to-noise ratio is increased by 3 dB compared to standard compressed-sensing strategies.Compressed sensingsparsityarray imagingultrasoundtext::conference output::conference proceedings::conference paper