Metadata-Version: 2.1
Name: pyDySP
Version: 0.1.0
Summary: Python Dynamic Signal Processing
Author-email: Dr Dimitris Karamitros <d.karamitros@bristol.ac.uk>
Project-URL: Homepage, https://github.com/dkaramitros/pyDySP
Project-URL: Documentation, https://pydysp.readthedocs.io/
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib

# pyDySP

Dynamic Signal Processing

[![Read the Docs](https://img.shields.io/readthedocs/pydysp)](https://pydysp.readthedocs.io/en/latest/)
![GitHub License](https://img.shields.io/github/license/dkaramitros/python-dysp)

## Information

Python classes are provided to process laboratory data from the Shaking Table experimental facilities at the University of Bristol.

## Instructions

The package `pyDySP` includes two classes:

- The `Test` class provides methods to add, manage, and plot data from multiple channels. Transfer functions can also be produced and analyzed.

- The `Channel` class provides methods for signal processing, including baseline correction, filtering, and trimming. Plotting methods are also provided.

Example Jupyter notebooks are also provided.
