Open Access
Issue |
A&A
Volume 689, September 2024
|
|
---|---|---|
Article Number | A107 | |
Number of page(s) | 18 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202449987 | |
Published online | 06 September 2024 |
- Abbott, B. P., Abbott, R., Abbott, T., et al. 2016, Phys. Rev. Lett., 116, 061102 [CrossRef] [PubMed] [Google Scholar]
- Amaro-Seoane, P., Audley, H., Babak, S., et al. 2017, arXiv e-prints [arXiv:1702.00786] [Google Scholar]
- Amaro-Seoane, P., Andrews, J., Arca Sedda, M., et al. 2023, Living Rev. Relativity, 26, 2 [NASA ADS] [CrossRef] [Google Scholar]
- Babak, S., Le Jeune, M., Petiteau, A., & Vallisneri, M. 2020, LISA Data Challenge: Sangria [Google Scholar]
- Babak, S., Hewitson, M., & Petiteau, A. 2021, arXiv e-prints [arXiv:2108.01167] [Google Scholar]
- Bacon, P., Gayathri, V., Chassande-Mottin, E., et al. 2018, Phys. Rev., D98, 024028 [NASA ADS] [Google Scholar]
- Bammey, Q., Bacon, P., Chassande-Mottin, E., Fraysse, A., & Jaffard, S. 2018, in 26th European Signal Processing Conference (EUSIPCO), IEEE, 1755 [Google Scholar]
- Bayle, J.-B. 2019, PhD thesis, Université de Paris; Université Paris Diderot; Laboratoire Astroparticules, France [Google Scholar]
- Bengio, Y., Courville, A., & Vincent, P. 2013, IEEE Trans. Pattern Anal. Mach. Intell., 35, 1798 [CrossRef] [Google Scholar]
- Blelly, A., Moutarde, H., & Bobin, J. 2020, Phys. Rev. D, 102, 104053 [CrossRef] [Google Scholar]
- Blelly, A., Bobin, J., & Moutarde, H. 2022, MNRAS, 509, 5902 [Google Scholar]
- Bobin, J., Gertosio, R. C., Bobin, C., & Thiam, C. 2023, Digital Signal Process., 139, 104058 [NASA ADS] [CrossRef] [Google Scholar]
- Cai, T. T. 1999, Ann. Statist., 27, 898 [CrossRef] [Google Scholar]
- Cai, J.-F., Candès, E. J., & Shen, Z. 2010, SIAM J. Optim., 20, 1956 [CrossRef] [Google Scholar]
- Candes, E. J., Wakin, M. B., & Boyd, S. P. 2008, J. Fourier Anal. Applic., 14, 877 [CrossRef] [Google Scholar]
- Chernogor, L. F., & Lazorenko, O. V. 2016, in 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), IEEE, 47 [Google Scholar]
- Cornish, N. J., & Littenberg, T. B. 2015, Class. Quant. Grav., 32, 135012 [NASA ADS] [CrossRef] [Google Scholar]
- Duarte, M. F., & Eldar, Y. C. 2011, IEEE Trans. Signal Process., 59, 4053 [CrossRef] [Google Scholar]
- Elad, M., & Aharon, M. 2006, IEEE Trans. Image Process., 15, 3736 [CrossRef] [Google Scholar]
- Feng, F., Chassande-Mottin, E., Bacon, P., & Fraysse, A. 2018, in 26th European Signal Processing Conference (EUSIPCO) (Rome: IEEE), 1750 [CrossRef] [Google Scholar]
- Flandrin, P. 1999, Time-Frequency/Time-Scale Analysis (Laboratoire de Physique Ecole Normale Superieure Lyon) [Google Scholar]
- Gertosio, R. C., Bobin, J., & Acero, F. 2023, Signal Process., 202, 108776 [NASA ADS] [CrossRef] [Google Scholar]
- Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (MIT Press) [Google Scholar]
- Graff, C. G., & Sidky, E. Y. 2015, Appl. Opt., 54, C23 [NASA ADS] [CrossRef] [Google Scholar]
- Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., & Stahel, W. A. 2011, Robust Statistics: The Approach Based on Influence Functions (John Wiley & Sons) [Google Scholar]
- Hinton, G. E., & Salakhutdinov, R. R. 2006, Science, 313, 504 [Google Scholar]
- Khan, S., Husa, S., Hannam, M., et al. 2016, Phys. Rev. D, 93 [Google Scholar]
- Klimenko, S., Yakushin, I., Rakhmanov, M., & Mitselmakher, G. 2004, Class. Quant. Grav., 21, S1685 [NASA ADS] [CrossRef] [Google Scholar]
- Kramer, M. A. 1991, AIChE J., 37, 233 [CrossRef] [Google Scholar]
- Marsat, S., & Baker, J. 2018, arXiv e-prints [arXiv:1806.10734] [Google Scholar]
- Morrás, G., Nuño Siles, J. F., & García-Bellido, J. 2023, Phys. Rev. D, 108, 123025 [CrossRef] [Google Scholar]
- Nie, F., Huang, H., Cai, X., & Ding, C. 2010, Adv. Neural Inform. Process. Syst., 23 [Google Scholar]
- Potter, L. C., Ertin, E., Parker, J. T., & Cetin, M. 2010, Proc. IEEE, 98, 1006 [CrossRef] [Google Scholar]
- Prince, T. A., Tinto, M., Larson, S. L., & Armstrong, J. W. 2002, Phys. Rev., D66, 122002 [NASA ADS] [Google Scholar]
- Rasmus, A., Berglund, M., Honkala, M., Valpola, H., & Raiko, T. 2015, Adv. Neural Inform. Process. Syst., 28 [Google Scholar]
- Robson, T., & Cornish, N. J. 2019, Phys. Rev., D99, 024019 [NASA ADS] [Google Scholar]
- Schmidt, S., Breschi, M., Gamba, R., et al. 2021, Phys. Rev. D, 103, 043020 [NASA ADS] [CrossRef] [Google Scholar]
- Starck, J.-L., Murtagh, F., & Fadili, M. 2010, Sparse Image and Signal Processing (Cambridge University Press) [CrossRef] [Google Scholar]
- Tinto, M., & Dhurandhar, S. V. 2014, Living Rev. Rel., 17, 6 [NASA ADS] [CrossRef] [Google Scholar]
- Tropp, J. A., & Wright, S. J. 2010, Proc. IEEE, 98, 948 [CrossRef] [Google Scholar]
- Wold, S., Esbensen, K., & Geladi, P. 1987, Chemometrics Intell. Lab. Syst., 2, 37 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.