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Related Experiment Video

Updated: Jun 7, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Morse theoretic signal compression and reconstruction on chain complexes.

Stefania Ebli1, Celia Hacker1, Kelly Maggs1

  • 1Laboratory for Topology and Neuroscience, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Journal of Applied and Computational Topology
|November 11, 2024
PubMed
Summary

This study introduces a novel method for compressing and reconstructing signals on cellular complexes using algebraic discrete Morse theory. The approach minimizes signal reconstruction error by leveraging deformation retracts and Morse matchings, preserving topological structures.

Keywords:
Combinatorial Hodge theoryDiscrete Morse theorySignal compression and reconstructionTopological signal processing

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Area of Science:

  • Computational topology
  • Applied algebraic topology
  • Topological Data Analysis (TDA)

Background:

  • Cellular signal processing integrates Topological Data Analysis (TDA) and machine learning.
  • Current methods utilize combinatorial Laplacians and Hodge decomposition for signal processing.
  • Discrete Morse theory is employed for computational efficiency by reducing complex sizes while maintaining topology.

Purpose of the Study:

  • To develop a signal compression and reconstruction method for chain complexes using algebraic discrete Morse theory.
  • To reduce and reconstruct based chain complexes and their associated signals via deformation retracts.
  • To preserve the global topological structure of both the complex and the signals during compression and reconstruction.

Main Methods:

  • Leveraging algebraic discrete Morse theory for signal processing on chain complexes.
  • Utilizing deformation retracts to reduce and reconstruct based chain complexes and signals.
  • Proving the equivalence of deformation retracts and Morse matchings for finite-dimensional chain complexes.

Main Results:

  • Demonstrated that deformation retracts on real degree-wise finite-dimensional based chain complexes are equivalent to Morse matchings.
  • Analyzed signal changes under Morse matchings, showing trivial reconstruction error on specific Hodge decomposition components.
  • Developed an algorithm for computing Morse matchings with minimized reconstruction error.

Conclusions:

  • The proposed method effectively compresses and reconstructs signals on chain complexes while preserving essential topological features.
  • The findings offer a computationally efficient approach to signal processing in TDA and related fields.
  • The developed algorithm provides a practical tool for minimizing signal reconstruction error in complex topological structures.