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<tt>fmmpy</tt> : a Python module for frequency-modulated Möbius signal decomposition

Christian Canedo et al.

Journal of Statistical Computation and Simulation2026https://doi.org/10.1080/00949655.2026.2635653article
ABDC C
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0.50

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https://doi.org/https://doi.org/10.1080/00949655.2026.2635653

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@article{christian2026,
  title        = {{<tt>fmmpy</tt> : a Python module for frequency-modulated Möbius signal decomposition}},
  author       = {Christian Canedo et al.},
  journal      = {Journal of Statistical Computation and Simulation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/00949655.2026.2635653},
}

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<tt>fmmpy</tt> : a Python module for frequency-modulated Möbius signal decomposition

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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