English

A scalable event-driven spatiotemporal feature extraction circuit

Signal Processing 2025-02-04 v2 Hardware Architecture Emerging Technologies

Abstract

Event-driven sensors, which produce data only when there is a change in the input signal, are increasingly used in applications that require low-latency and low-power real-time sensing, such as robotics and edge devices. To fully achieve the latency and power advantages on offer however, similarly event-driven data processing methods are required. A promising solution is the TDE: an event-based processing element which encodes the time difference between events on different channels into an output event stream. In this work we introduce a novel TDE implementation on CMOS. The circuit is robust to device mismatch and allows the linear integration of input events. This is crucial for enabling a high-density implementation of many TDEs on the same die, and for realising real-time parallel processing of the high-event-rate data produced by event-driven sensors.

Keywords

Cite

@article{arxiv.2501.10155,
  title  = {A scalable event-driven spatiotemporal feature extraction circuit},
  author = {Hugh Greatorex and Michele Mastella and Ole Richter and Madison Cotteret and Willian Soares Girão and Ella Janotte and Elisabetta Chicca},
  journal= {arXiv preprint arXiv:2501.10155},
  year   = {2025}
}

Comments

4 pages, 7 figures

R2 v1 2026-06-28T21:09:16.745Z