fmmpy 1.0.0

Frequency-Modulated Möbius decomposition for multichannel signals

fmmpy

fmmpy is a Python package for Frequency-Modulated Möbius (FMM) signal decomposition.
It provides efficient tools for multichannel signal modeling, constrained parameter estimation, and component analysis.

This package implements the core methodology described in the paper:

PyFMM: A Python module for Frequency-Modulated Möbius Signal Decomposition
Christian Canedo, Rocío Carratalá-Sáez, Cristina Rueda
[Submitted, 2025]
Repository: ModulePyFMM on GitHub

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Features

• Modular implementation of the FMM model
• Support for constrained fitting (phase, frequency, and shape parameters)
• AFD-based initialization and efficient backfitting algorithm
• Multichannel signal decomposition
• Confidence intervals for FMM parameters
• Visualization tools (components, predictions, residuals)

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Installation

pip install fmmpy