[Docs] Add Example Notebooks in examples/
π Motivation
Interactive examples help new users understand the toolkit quickly.
Jupyter notebooks also enable reproducible benchmarking and visualization.
π― Goal
- Create an
examples/ folder
- Add Jupyter notebooks demonstrating:
- Running the FxLMS prototype
- Plotting convergence curves
- Benchmarking SINR improvement
- Keep dependencies minimal (numpy, matplotlib)
π‘ Potential Approaches
- Start with one notebook:
01_basic_demo.ipynb
- Use simple synthetic signals for illustration
- Add visualizations (before vs. after cancellation)
β
Expected Outcomes
- At least one working notebook in
examples/
- Visual plots that match the README performance highlights
[Docs] Add Example Notebooks in
examples/π Motivation
Interactive examples help new users understand the toolkit quickly.
Jupyter notebooks also enable reproducible benchmarking and visualization.
π― Goal
examples/folderπ‘ Potential Approaches
01_basic_demo.ipynbβ Expected Outcomes
examples/