Spectral function decomposition using time domain prony fitting. See this JCP article for details.
The original author and developer of this package is czh.
I create this repository for myself, to improve the reusablity (hopefully) of the original prony
code.
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├── data/ <- The original, immutable data dump. TODO, non existing yet.
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├── notebooks/ <- Jupyter notebooks. Examples on how to use the package
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├── tests/ <- Unit tests. TODO, non existing yet.
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├── prony/ <- Python module with source code of this project.
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├── julia/ <- Julia module. Somewhat faster, especially useful if you are dealing with large Hankel matrix.
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├── LICENSE
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├── README.md <- The top-level README for developers using this project.
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Credits:
Project based on the cookiecutter data science project template.
The original prony
code was developed and written by czh and it is available as an subproject of the moscal2.0
package.
Easiy install prony
to your python environment:
$ pip install --editable .