Approximate reconstruction of bandlimited functions for the integrate and fire sampler
Hans G. Feichtinger, Jos\'e C. Pr\'incipe, Jos\'e Luis Romero,, Alexander Singh Alvarado, Gino Angelo Velasco

TL;DR
This paper proposes an approximate reconstruction method for bandlimited signals from integrate-and-fire sampling, providing error bounds and demonstrating effectiveness through numerical simulations, suitable for low-power hardware applications.
Contribution
It introduces a novel approximate reconstruction procedure for integrate-and-fire sampled signals with theoretical error bounds and empirical validation.
Findings
Reconstruction error bounds established
Algorithm performs well in numerical simulations
Suitable for low-power, hardware-limited environments
Abstract
In this paper we study the reconstruction of a bandlimited signal from samples generated by the integrate and fire model. This sampler allows us to trade complexity in the reconstruction algorithms for simple hardware implementations, and is specially convenient in situations where the sampling device is limited in terms of power, area and bandwidth. Although perfect reconstruction for this sampler is impossible, we give a general approximate reconstruction procedure and bound the corresponding error. We also show the performance of the proposed algorithm through numerical simulations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Analysis and Transform Methods · Medical Imaging Techniques and Applications · Image and Signal Denoising Methods
