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FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals
- 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
- Subjects :
- Signal Processing (eess.SP)
FOS: Computer and information sciences
Information Theory (cs.IT)
Computer Science - Information Theory
Signal Processing
FOS: Electrical engineering, electronic engineering, information engineering
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Subjects
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