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research article
SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits
January 1, 2022
This paper presents the open-source Python-based parameter extractor (SEKV-E) for the simplified EKV (sEKV) model, which enables the modern low-power circuit designs with the inversion coefficient design methodology. The tool extracts the essential sEKV parameters automatically from the given I-V curves using the direct extraction and the multi-stage optimization process. It also handles the overfitting issue because of non-linear least squares. Moreover, this work demonstrates the SEKV-E as a universal tool by widely applying it to different silicon technologies, temperatures, dimensions, and back-gate voltages.
Type
research article
Web of Science ID
WOS:000856100000002
Authors
Publication date
2022-01-01
Published in
Volume
3
Start page
162
End page
167
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
October 10, 2022
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