Python Efficient Hypothesis Management (PyEHM)

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  • License: Eclipse Public License 2.0 (EPL-2.0)
  • Author: Lyudmil Vladimirov
  • Maintainer: University of Liverpool
  • Tags python , pyehm , ehm
  • Requires: Python >=3.9
  • Provides-Extra: dev
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Project description

Python Efficient Hypothesis Management (PyEHM)

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PyEHM is a Python package that includes open-source implementations of the Efficient Hypothesis Management (EHM) Algorithms described in [1], [2] and covered by the patent [3].

[1] Maskell, S., Briers, M. and Wright, R., 2004, August. Fast mutual exclusion. In Signal and Data Processing of Small Targets 2004 (Vol. 5428, pp. 526-536). International Society for Optics and Photonics

[2] Horridge, P. and Maskell, S., 2006, July. Real-time tracking of hundreds of targets with efficient exact JPDAF implementation. In 2006 9th International Conference on Information Fusion (pp. 1-8). IEEE

[3] Maskell, S., 2003, July. Signal Processing with Reduced Combinatorial Complexity. Patent Reference:0315349.1

Documentation

Please see the PyEHM documentation for installation instructions, API references and usage examples.

License

PyEHM is licenced under Eclipse Public License 2.0. See License for more details.

This software is the property of QinetiQ Limited and any requests for use of the software for commercial use or other use outside of the Eclipse Public Licence should be made to QinetiQ Limited.

The current QinetiQ contact is Richard Lane (rlane1 [at] qinetiq [dot] com).

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  • License: Eclipse Public License 2.0 (EPL-2.0)
  • Author: Lyudmil Vladimirov
  • Maintainer: University of Liverpool
  • Tags python , pyehm , ehm
  • Requires: Python >=3.9
  • Provides-Extra: dev
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2.2

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