Pulse-Stream Models In Time-Of-Flight Imaging

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 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.


Publié dans:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3389-3393
Présenté à:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, April 15-20, 2018
Année
2018
Publisher:
IEEE
ISBN:
978-1-5386-4658-8
Mots-clefs:
Laboratoires:




 Notice créée le 2017-10-30, modifiée le 2019-03-17

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