SEKV-E is a Python-based parameters extractor for the simplified EKV model.
Project description
SEKV-E
SEKV-E is a Python-based parameters extractor for the simplified EKV model, which is developed by ICLAB, EPFL. While it has been developed to serve the needs of low-power analog circuit designs. The source file is controlled on our GitLab repo at SEKV-E.
You can find the tutorial at 15_minutes_to_sekve. Please find our recent published paper for more information about the extraction methodology and applications.
Install
The project is present on pip
and conda-forge
.
Conda
To get the package in your conda
environment:
conda install -c conda-forge sekve
PyPI
To install the project via pip
:
pip install sekve
Git
To clone directly the project in your local directory:
git clone https://gitlab.com/moscm/sekv-e.git
Authors and acknowledgment
Hung-Chi Han, doctoral assistant in ICLAB, EPFL, Lausanne, Switzerland
(email:hung.han@epfl.ch).
Vicente Carbon, master student in ICLAB, EPFL, Lausanne, Switzerland.
Christian Enz, director of ICLAB, EPFL, Lausanne, Switzerland.
Paper
If you use SEKV-E in your research, please cite the paper
H. -C. Han, A. D’Amico and C. Enz, "SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits," in IEEE Open Journal of Circuits and Systems, vol. 3, pp. 162-167, 2022, doi: 10.1109/OJCAS.2022.3179046.
License
see LICENSE.
Tutorials
- 15_minutes_to_sekve,
which gives you a general introduction to SEKV-E. You will learn how to manage your input data, how to run the extraction, and how to get the extracted parameters.
Project details
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