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.


Presented at:
2018 IEEE International Conference on Acoustics, Speech and Signal Processing
2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, April 15-20, 2018
Year:
2018
Keywords:
Laboratories:




 Record created 2017-10-30, last modified 2018-03-17

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