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FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals

Authors :
Hila Naaman
Satish Mulleti
Yonina C. Eldar
Source :
IEEE Transactions on Signal Processing. 70:2267-2279
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

Classical sampling is based on acquiring signal amplitudes at specific points in time, with the minimal sampling rate dictated by the degrees of freedom in the signal. The samplers in this framework are controlled by a global clock that operates at a rate greater than or equal to the minimal sampling rate. At high sampling rates, clocks are power-consuming and prone to electromagnetic interference. An integrate-and-fire time encoding machine (IF-TEM) is an alternative power-efficient sampling mechanism which does not require a global clock. Here, the samples are irregularly spaced threshold-based samples. In this paper, we investigate the problem of sampling finite-rate-of-innovation (FRI) signals using an IF-TEM. We provide theoretical recovery guarantees for an FRI signal with arbitrary pulse shape and without any constraint on the minimum separation between the pulses. In particular, we show how to design a sampling kernel, IF-TEM, and recovery method such that the FRI signals are perfectly reconstructed. We then propose a modification to the sampling kernel to improve noise robustness. Our results enable designing low-cost and energy-efficient analog-to-digital converters for FRI signals.<br />11 pages, 9 figures

Details

ISSN :
19410476 and 1053587X
Volume :
70
Database :
OpenAIRE
Journal :
IEEE Transactions on Signal Processing
Accession number :
edsair.doi.dedup.....944bce090e5e4660db21fc7cdd81c262
Full Text :
https://doi.org/10.1109/tsp.2022.3167146