Structured sparsity regularization for gravitational- wave polarization reconstruction

Structured sparsity regularization for gravitational- wave polarization reconstruction. Feng, F., Chassande-Mottin, E., Bacon, P., & Fraysse, A. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 1750-1754, Sep., 2018.
doi abstract bibtex

Gravitational-wave (GW) observations with a network of more than two advanced detectors open the possibility of reconstructing the two polarizations predicted by General Relativity. We propose to address this problem using sparsity promoting regularizations. We consider a variety of techniques, including “structured sparsity” that allows to explicitly model the intrinsic clustering effect occurring in the time-frequency representation of GW transient signals. The proposed methods are evaluated with simulated GW signals and real-world noise. Numerical simulations show the advantages of the proposed approaches.

@InProceedings{8553009,
  author = {F. Feng and E. Chassande-Mottin and P. Bacon and A. Fraysse},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Structured sparsity regularization for gravitational- wave polarization reconstruction},
  year = {2018},
  pages = {1750-1754},
  abstract = {Gravitational-wave (GW) observations with a network of more than two advanced detectors open the possibility of reconstructing the two polarizations predicted by General Relativity. We propose to address this problem using sparsity promoting regularizations. We consider a variety of techniques, including “structured sparsity” that allows to explicitly model the intrinsic clustering effect occurring in the time-frequency representation of GW transient signals. The proposed methods are evaluated with simulated GW signals and real-world noise. Numerical simulations show the advantages of the proposed approaches.},
  keywords = {gravitational waves;numerical analysis;Numerical simulations;simulated GW signals;GW transient signals;time-frequency representation;intrinsic clustering effect;sparsity promoting regularizations;General Relativity;polarizations;gravitational-wave observations;gravitational-wave polarization reconstruction;structured sparsity regularization;Detectors;Time-frequency analysis;Signal to noise ratio;Signal processing algorithms;Europe;Transient analysis},
  doi = {10.23919/EUSIPCO.2018.8553009},
  issn = {2076-1465},
  month = {Sep.},
}

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