Metadata-Version: 2.1
Name: USJ_dsptools
Version: 2024.5.2
Summary: A Python package to provide easy to use tools to learn and teach digital signal processing with Python.
Home-page: https://github.com/aalcaineo/dsptools
Author: Alejandro Alcaine, PhD
Author-email: lalcaine@usj.es
License: GNU General Public License v2.0
Keywords: Digital Signal Processing
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: numpy>=1.23.5
Requires-Dist: bokeh>=3.3.4
Provides-Extra: dev
Requires-Dist: twine>=4.0.2; extra == "dev"

# DSPTools
Digital Signal Processing Tools is a Python package to provide easy to use tools to learn
and teach digital signal processing with Python.

#### Version: 2024.05.02

## Modules:
* graph: Provides functionality to easily visualise signals. `plot_signal()` is already 
         available by direct import.
* operations: Provides basic operations on the independent variable of signals.
* frequency: Provides frequency analysis tools.
* ztransform: Provides tools for working with z-transform.

## Author:
Alejandro Alcaine, Ph.D\
CoMBA research group\
MESC Working Group on e-Cardiology\
MESC European Association of Cardiovascular Imaging (EACVI)\
lalcaine@usj.es

Faculty of Health Sciences\
University San Jorge\
Villanueva de GÃ¡llego (Zaragoza)\
Spain
