PydaptiveFiltering

Modern Python package of the Adaptive Filtering Toolbox

pydaptivefiltering

A modern Python package of adaptive filtering functions based on the book Adaptive Filtering - Algorithms and Pratical Implementation, Paulo Diniz. Also, based on the MATLAB Adaptive Filtering Toolbox.

Future Work

The project is currently on its early stages (pre-alpha). The planned order of work for every kind of algorithm is: (Algorithm(1), Examples(2), Notebooks(3)). The following is the planned and current progress for each of the algorithms:

• LMS based algorithms
• RLS based algorithms
• SetMembership Algorithms
• Lattice-based RLS
• Fast Transversal RLS
• QR
• IIR Filters (1/5)
• Nonlinear Filters (0/6)
• Subband Filters (0/3)
• BlindFilters

💻 Requirements

• Currently it requires Python 3.5 or later.

🚀 Install Instructions

To install the package with pip:

pip install pydaptivefiltering

To install the package with conda:

conda install pydaptivefiltering

☕ Examples of uses

A good place to start is with the jupyter notebooks that can be found at the <Examples\Jupyter Notebooks> folder

import pydaptivefiltering as pdf

📝 License

This project is under the license found at LICENSE.