Low-Power CMOS and Beyond-CMOS Front-End Circuits and Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 3644
Special Issue Editors
Interests: CMOS integrated circuits; biomedical electronics; neurophysiology; analogue-digital conversion; bioelectric potentials; low-power electronics
Special Issues, Collections and Topics in MDPI journals
Interests: emerging technologies; new computing paradigms; low-power circuit design; coupled-oscillator systems
Special Issue Information
Dear Colleagues,
The evolution of the Internet of Things (IoE) will eventually enable a plethora of sensors, inanimate and living entities, people, processes, and data to be seam-lessly interconnected and autonomously coordinated over the Internet.
These applications tie into the concept of edge computing, which requires plat-forms to extract task-relevant information from increasingly large amounts of data with stringent constraints on energy efficiency, performance, cost, and reliability.
In particular, the requirements of IoE and edge computing systems can be met thanks to the evolution of embedded CMOS or beyond-CMOS circuit technolo-gies (spintronic, resistive, ferroelectric, etc.).
To enable this connected universe, from molecular sensors to vehicles and peo-ple, requires the development of enabling technologies, which poses several challenges to circuit designers. For the IoE and edge computing paradigm to be viable, devices must operate at low-power levels. This requirement is a chal-lenge for front-end circuit designers, especially for nanometer CMOS or be-yond-CMOS technologies.
This Special Issue aims to collect contributions focusing on different topics in the design of low-power front-end circuits and systems using CMOS and emerging technologies. The topics of interest include, but are not limited to:
- Device modeling and biasing techniques for low-power circuits.
- The design of test circuits.
- Low-power analog and digital circuit design.
- Energy-harvesting circuits and systems.
- 4. Variability-aware design techniques for low-power design.
- Low-power sensor readout interfaces.
- Low-power data converters.
- The benchmarking of novel devices for front-end circuits.
- Implantable devices for biomedical applications.
- Low-power wearable electronics for body sensor networks.
- Autonomous healthcare circuits and systems.
- Neuromorphic computing systems.
Dr. Rafaella Fiorelli
Dr. Juan Núñez
Dr. Julián Oreggioni
Guest Editors
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Keywords
- low-power
- CMOS
- beyond-CMOS
- front-end circuit
- energy harvesting
- varia-bility-aware
- ADC
- implantable devices
- biomedical
- wearable
- body sensor
- IoE
- healthcare
- neuromorphic
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