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https://github.com/ivo53/EIT-MPhys-Project
This code includes a novel Electrode Selection Algorithm (ESA) for use in Electrical Impedance Tomography (EIT) on 2-dimensional samples. It also features an implementation of a solver of the EIT forward problem that considers the Complete Electrode Model. The model uses the GREIT implementation of the PyEIT package (https://github.com/liubenyuan/pyEIT) for EIT computations, as well as some other parts of the PyEIT software. Our team does not have any claims for these parts of the code.
https://github.com/ivo53/EIT-MPhys-Project
Last synced: 2 months ago
JSON representation
This code includes a novel Electrode Selection Algorithm (ESA) for use in Electrical Impedance Tomography (EIT) on 2-dimensional samples. It also features an implementation of a solver of the EIT forward problem that considers the Complete Electrode Model. The model uses the GREIT implementation of the PyEIT package (https://github.com/liubenyuan/pyEIT) for EIT computations, as well as some other parts of the PyEIT software. Our team does not have any claims for these parts of the code.
- Host: GitHub
- URL: https://github.com/ivo53/EIT-MPhys-Project
- Owner: ivo53
- License: bsd-3-clause
- Created: 2020-07-28T18:23:09.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-10-30T13:30:51.000Z (about 4 years ago)
- Last Synced: 2024-07-31T23:44:50.995Z (5 months ago)
- Language: Python
- Size: 1.74 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
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- awesome-eit - EIT-MPhys-Project - dimensional samples. (Fantastic Applications)