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A library which implements algorithms of use when trying to track the true state of one or more systems over time in the presence of noisy observations.

Project Description

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Starman: State-estimation and tracking for Python

Starman is a library which implements algorithms of use when trying to track the true state of one or more systems over time in the presence of noisy observations.

Full documentation is available on readthedocs.

Features

Currently starman supports the following algorithms:

  • Kalman filtering for state estimation.
  • Rauch-Tung-Striebel smoothing for the Kalman filter.
  • Scott and Longuet-Higgins feature association for matching measurments to tracked states.

Why “starman”?

Starman implements the Kalman filter. The Kalman filter was used for trajectory estimation in the Apollo spaceflight programme. Starman is thus a blend of “star”, signifying space, and “Kalman”. That and “kalman” was already taken as a package name on the PyPI.

Release history Release notifications

This version
History Node

1.0.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
starman-1.0.0.tar.gz (11.3 kB) Copy SHA256 hash SHA256 Source None Apr 4, 2016

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