lmlib

Open-source and for Python

A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.

Website and Documentation: lmlib.ch

Direct Links to:

• Install
• API
• Coding
• Examples
• Signal Catalog
• About Us
• Bibliography

• pip: pip install lmlib

• conda: see here

Installation via:

• pip (dev-mode): pip install -e lmlib
• Git Workflow Guide

python3.14 -m venv venv

source venv/bin/activate

pip install -r requirements.txt

• create gallery

python scripts/create_gallery.py

• build doc

mkdocs build -c

• livereload

mkdocs serve --livereload -c

The automated pipeline consists of four sequential jobs:

• Triggered by: Tags matching refs/tags/*
• Purpose: Creates a GitHub release with tag message as notes
• Outputs: Official release on GitHub

• Triggered by: Any push to develop or tags
• Purpose: Generates gallery documentation from code examples
• Output: docs/_generated folder as artifact

• Prerequisite: build_gallery must succeed
• Purpose:
• Downloads generated docs from previous step
• Creates API documentation and changelog
• Replaces version placeholders with actual version
• Builds the complete MkDocs site
• Output: ./site folder as artifact

• Prerequisite: build_mkdocs must succeed
• Purpose: Deploys the built site to GitHub Pages
• Destination: gh-pages branch
• Result: Documentation becomes live at your GitHub Pages URL

git push -a vX.X.X

• Then a text editor opens for release notes (make double newlines for a newline in the release notes of github)

this is a new major release:

* new feature
* removed functions
* faster backend

• Update release notes directly on github page and save
• Rerun job 3. build_mkdocs. this will update the news website with the latest release notes.

• Push main branche with newest documentation