Published November 17, 2020
| Version 1.0
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harripd/H2MMpythonlib: H2MMpy
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Python implementation of H2MM originally published in Pirchi et. al. JPC 2016, 120, 13065 This code analyzes sequences of photon arrival times and colors and fits them to a hidden Markov model in an iterative process. A Viterbi path function also finds the most likely state-path given a H2MM model and a photon sequence.
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harripd/H2MMpythonlib-1.0.zip
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Related works
- Is supplement to
- https://github.com/harripd/H2MMpythonlib/tree/1.0 (URL)