@inproceedings{2acd7f659a1e445c86c2740cf112ebe0,
title = "Uniqueness and Robustness of Tem-Based FRI Sampling",
abstract = "In this paper, we study the problem of sampling finite-rate-of-innovation (FRI) signals by using an integrate-and-fire time encoding machine. We consider a Fourier-domain reconstruction approach and design a robust sampling kernel that has a frequency-domain alias cancellation condition and excludes the zero frequency. In the absence of noise, we present theoretical recovery guarantees for FRI signals with arbitrary pulse shapes using our approach. We show that the minimum firing rate is proportional to the rate of innovation of the FRI signal. In the presence of noise, our technique results in 2-10 dB lower error while estimating the FRI parameters compared to existing methods for the same number of measurements.",
keywords = "Time-encoding machine, finite-rate-of-innovation signals, integrate-and-fire, time-based sampling",
author = "Hila Naaman and Satish Mulleti and Eldar, \{Yonina C.\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Information Theory, ISIT 2022 ; Conference date: 26-06-2022 Through 01-07-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/ISIT50566.2022.9834369",
language = "American English",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "2631--2636",
booktitle = "2022 IEEE International Symposium on Information Theory, ISIT 2022",
}