filterpy - PyPI
pypi.org › project › filterpyOct 10, 2018 · The second book I use is Eli Brookner’s ‘Tracking and Kalman Filtering Made Easy’. This is an astonishingly good book; its first chapter is actually readable by the layperson! Brookner starts from the g-h filter, and shows how all other filters - the Kalman filter, least squares, fading memory, etc., all derive from the g-h filter.
filterpy - PyPI
https://pypi.org/project/filterpy10.10.2018 · FilterPy - Kalman filters and other optimal and non-optimal estimation filters in Python. NOTE: Imminent drop of support of Python 2.7, 3.4.See section below for details. This library provides Kalman filtering and various related optimal and …
FilterPy — FilterPy 1.4.4 documentation
https://filterpy.readthedocs.io/en/latestFilterPy is a Python library that implements a number of Bayesian filters, most notably Kalman filters. I am writing it in conjunction with my book Kalman and Bayesian Filters in Python, a free book written using Ipython Notebook, hosted on github, and readable via nbviewer.However, it implements a wide variety of functionality that is not described in the book.