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Event-Based ADCs vs. Nyquist ADCs: Rethinking Performance Metrics

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Abstract

Event-based analog-to-digital converters (ADCs) are an interesting alternative to conventional Nyquist ADCs. However, their application is far from mainstream. One reason for this lack of industry adoption might be the absence of a universal performance metric for event-based ADCs that can be used robustly to compare them with Nyquist ADCs. This article addresses this gap by summarizing key theoretical concepts and highlighting primary distinctions between event-based ADCs and Nyquist ADCs. The theoretical findings are substantiated by the measurement results of a demonstrator implemented at the PCB level. Building on these insights, the work demonstrates that the conventional figures of merit (FoMs) used for Nyquist ADCs are inadequate to evaluate event-based ADCs, prompting the development of a new and tailored performance metric. Finally, the performance of state of the art integrated event-based ADCs is evaluated using the proposed FoM.
Original languageEnglish
Title of host publication2025 Austrochip Workshop on Microelectronics (Austrochip)
PublisherIEEE
Pages37-40
Number of pages4
Edition1
ISBN (Electronic)979-8-3315-5477-4
ISBN (Print)979-8-3315-5478-1
DOIs
Publication statusPublished - 25 Sept 2025
Event2025 Austrochip Workshop on Microelectronics (Austrochip) - Linz, Austria
Duration: 24 Sept 202525 Sept 2025

Conference

Conference2025 Austrochip Workshop on Microelectronics (Austrochip)
Period24.09.202525.09.2025

Fields of science

  • 202034 Control engineering
  • 202018 Semiconductor electronics
  • 202017 Embedded systems
  • 202015 Electronics
  • 202030 Communication engineering
  • 202028 Microelectronics
  • 202027 Mechatronics
  • 102019 Machine learning
  • 202040 Transmission technology
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202025 Power electronics
  • 102005 Computer aided design (CAD)
  • 202041 Computer engineering
  • 202037 Signal processing
  • 202023 Integrated circuits
  • 202006 Computer hardware
  • 202036 Sensor systems
  • 202022 Information technology

JKU Focus areas

  • Digital Transformation

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