sekve 1.1.5

SEKV-E is a Python-based parameters extractor for the simplified EKV model.

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:[e-mail]).
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.