Pulse-stream models in time-of-flight imaging

Adrien Besson, Dimitris Perdios, Yves Wiaux, Jean-Philippe Thiran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
21 Downloads (Pure)


This 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 reconstruc- tion 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 non- destructive-evaluation application where the peak-signal-to-noise- ratio is increased by 3 dB compared to standard compressed-sensing strategies.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages5
ISBN (Electronic)9781538646588
Publication statusPublished - 13 Sep 2018

Publication series

NameInternational Conference on Acoustics, Speech and Signal Processing
ISSN (Electronic)2379-190X


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