A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications

Spielberger A, Pfannenmüller C, Spitzkopf L, Armbrecht W, Schrotz AM, Weigel R, Franchi N (2025)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2025

Publisher: IEEE

Event location: Lansing, Michigan US

DOI: 10.1109/MWSCAS53549.2025.11244588

Abstract

This paper proposes a new type of neuromophic analog to digital converter, the neuropredictive SAR ADC. By estimation of the next input value using a neuromorphic predictor, the conversion time of a modified SAR ADC and thus the energy consumption of the ADC can be reduced. A demonstrator designed for audio signals shows an energy saving of 41.09% compared to conventional SAR sampling. This ADC architecture is an alternative for ultra-low power applications.

Authors with CRIS profile

Alexander Spielberger Lehrstuhl für Technische Elektronik (LTE) Christof Pfannenmüller Lehrstuhl für Technische Elektronik (LTE) Albert-Marcel Schrotz Lehrstuhl für Intelligente Technische Elektronik und Systeme Robert Weigel Technische Fakultät Norman Franchi Lehrstuhl für Intelligente Technische Elektronik und Systeme

How to cite

APA:

Spielberger, A., Pfannenmüller, C., Spitzkopf, L., Armbrecht, W., Schrotz, A.-M., Weigel, R., & Franchi, N. (2025). A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications. In Proceedings of the 68th IEEE International Midwest Symposium on Circuits and Systems. Lansing, Michigan, US: IEEE.

MLA:

Spielberger, Alexander, et al. "A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications." Proceedings of the 68th IEEE International Midwest Symposium on Circuits and Systems, Lansing, Michigan IEEE, 2025.

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