Python transport based signal processing toolkit.
Project description
PyTransKit
Python Transport Based Signal Processing Toolkit
Website and documentation: https://pytranskit.readthedocs.io/
Installation
The library could be installed through pip
pip install pytranskit
Alternately, you could clone/download the repository and add the pytranskit directory to your Python path
import sys
sys.path.append('path/to/pytranskit')
from pytranskit.optrans.continuous.cdt import CDT
Low Level Functions
CDT
R-CDT
CLOT
Classification Examples
- CDT Nearest Subspace (CDT-NS) classifier for 1D data [notebook] [nbviewer]
- Radon-CDT Nearest Subspace (RCDT-NS) classifier for 2D data [4] [notebook] [nbviewer]
- 3D Radon-CDT Nearest Subspace (3D-RCDT-NS) classifier for 3D data [notebook] [nbviewer]
Estimation Examples
- Time delay estimation using CDT [5] [notebook] [nbviewer]
- Time delay and linear dispersion estimation using CDT [5] [notebook] [nbviewer]
References
- The cumulative distribution transform and linear pattern classification, Applied and Computational Harmonic Analysis, November 2018
- The Radon Cumulative Distribution Transform and Its Application to Image Classification, IEEE Transactions on Image Processing, December 2015
- A continuous linear optimal transport approach for pattern analysis in image datasets, Pattern Recognition, March 2016
- Radon cumulative distribution transform subspace modeling for image classification, arXiv preprint, 2020
- Parametric Signal Estimation Using the Cumulative Distribution Transform, IEEE Transactions on Signal Processing, May 2020
Resources
External website http://imagedatascience.com/transport/
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