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.


Published in:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3389-3393
Presented at:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, April 15-20, 2018
Year:
2018
Publisher:
IEEE
ISBN:
978-1-5386-4658-8
Keywords:
Laboratories:




 Record created 2017-10-30, last modified 2019-01-07

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)