EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 666 (October 2022) A&A, 666 (2022) A137 References
Open Access
Issue
A&A
Volume 666, October 2022
Article Number A137
Number of page(s) 19
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202243244
Published online 19 October 2022
  1. Akiyama, K., Ikeda, S., Pleau, M., et al. 2017a, AJ, 153, 159 [NASA ADS] [CrossRef] [Google Scholar]
  2. Akiyama, K., Kuramochi, K., Ikeda, S., et al. 2017b, ApJ, 838, 1 [NASA ADS] [CrossRef] [Google Scholar]
  3. Arras, P., Frank, P., Haim, P., et al. 2022, Nat. Astron., 6, 259 [NASA ADS] [CrossRef] [Google Scholar]
  4. Assirati, L., Silva, N. R., Berton, L., Lopes, A. A., & Bruno, O. M. 2014, J. Phys.: Conf. Ser., 490, 012020 [NASA ADS] [CrossRef] [Google Scholar]
  5. Attouch, H., Bolte, J., & Svaiter, B. 2013, Math. Programm., 137, 91 [CrossRef] [Google Scholar]
  6. Bao, C., Dong, B., Hou, L., et al. 2016, Inverse Probl., 32, 115004 [NASA ADS] [CrossRef] [Google Scholar]
  7. Beck, A., & Teboulle, M. 2009, SIAM J. Imaging Sci., 2, 183 [CrossRef] [Google Scholar]
  8. Bhatnagar, S., & Cornwell, T. J. 2004, A&A, 426, 747 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Blackburn, L., Pesce, D. W., Johnson, M. D., et al. 2020, ApJ, 894, 31 [Google Scholar]
  10. Boţ, R., Csetnek, E., & Szilard Csaba, L. 2016, EURO J. Comput. Optim., 4, 3 [CrossRef] [Google Scholar]
  11. Cai, X., Pereyra, M., & McEwen, J. D. 2018a, MNRAS, 480, 4154 [Google Scholar]
  12. Cai, X., Pereyra, M., & McEwen, J. D. 2018b, MNRAS, 480, 4170 [NASA ADS] [CrossRef] [Google Scholar]
  13. Candès, E., Romberg, J., & Tao, T. 2006, IEEE Trans. Inform. Theory, 52, 489 [CrossRef] [Google Scholar]
  14. Candès, E., Wakin, M., & Boyd, S. 2007, J. Fourier Anal. Applic., 14, 877 [Google Scholar]
  15. Carrillo, R. E., McEwen, J. D., & Wiaux, Y. 2012, MNRAS, 426, 1223 [Google Scholar]
  16. Carrillo, R. E., McEwen, J. D., & Wiaux, Y. 2014, MNRAS, 439, 3591 [Google Scholar]
  17. Chael, A. A., Johnson, M. D., Bouman, K. L., et al. 2018, ApJ, 857, 23 [Google Scholar]
  18. Clark, B. G. 1980, A&A, 89, 377 [NASA ADS] [Google Scholar]
  19. Combettes, P., & Pesquet, J. 2009, Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 49 [Google Scholar]
  20. Cornwell, T. J. 2008, IEEE J. Sel. Top. Signal Process., 2, 793 [Google Scholar]
  21. Coupinot, G., Hecquet, J., Auriere, M., & Futaully, R. 1992, A&A, 259, 701 [NASA ADS] [Google Scholar]
  22. Doeleman, S., Blackburn, L., Dexter, J., et al. 2019, Bull. Am. Astron. Soc., 51, 256 [Google Scholar]
  23. Donoho, D. 2006, IEEE Trans. Inform. Theory, 52, 128 [Google Scholar]
  24. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019, ApJ, 875, L4 [Google Scholar]
  25. Frieden, B. R. 1972, J. Opt. Soc. Am., 62, 511 [NASA ADS] [CrossRef] [Google Scholar]
  26. Fromm, C. M., Cruz-Osorio, A., Mizuno, Y., et al. 2022, A&A, 660, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Garsden, H., Girard, J. N., Starck, J. L., et al. 2015, A&A, 575, A90 [CrossRef] [EDP Sciences] [Google Scholar]
  28. Girard, J. N., Garsden, H., Starck, J. L., et al. 2015, J. Instrum., 10, C08013 [CrossRef] [Google Scholar]
  29. Gonzalez, R. C., & Woods, R. E. 2006, Digital Image Processing, 3rd edn. (New Jersey: Prentice Hall) [Google Scholar]
  30. Goupillaud, P., Grossmann, A., & Morlet, J. 1984, Geoexploration, 23, 85 [CrossRef] [Google Scholar]
  31. Grossmann, A., Kronland-Martinet, R., & Morlet, J. 1989, In Wavelets: Time-Frequency Methods and Phase Space 1, 2 [CrossRef] [Google Scholar]
  32. Högbom, J. A. 1974, A&AS, 15, 417 [Google Scholar]
  33. Ikeda, S., Tazaki, F., Akiyama, K., Hada, K., & Honma, M. 2016, PASJ, 68, 45 [NASA ADS] [CrossRef] [Google Scholar]
  34. Lannes, A., Anterrieu, E., & Marechal, P. 1997, A&AS, 123, 183 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Li, F., Cornwell, T. J., & de Hoog, F. 2011, A&A, 528, A31 [CrossRef] [EDP Sciences] [Google Scholar]
  36. Liang, J., Fadili, J., & Peyré, G. 2016, in Advances in Neural Information Processing Systems, eds. D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, & R. Garnett, (Curran Associates, Inc.), 29, 4035 [Google Scholar]
  37. Line, J. L. B., Mitchell, D. A., Pindor, B., et al. 2020, PASA, 37, e027 [NASA ADS] [CrossRef] [Google Scholar]
  38. Mallat, S. G. 1989, IEEE Trans. Pattern Anal. Mach. Intell., 11, 674 [NASA ADS] [CrossRef] [Google Scholar]
  39. Martinet, B. 1972, Comptes Rendus Acad. Sci. Paris, 1274, 163 [Google Scholar]
  40. Mertens, F., & Lobanov, A. 2015, A&A, 574, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Mizuno, Y., Fromm, C. M., Younsi, Z., et al. 2021, MNRAS, 506, 741 [NASA ADS] [CrossRef] [Google Scholar]
  42. Moreau, J. 1962, Comptes Rendus Hebdomadaires Séances Acad. Sci., Paris, 255 [Google Scholar]
  43. Mouri Sardarabadi, A., Leshem, A., & van der Veen, A.-J. 2016, A&A, 588, A95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Murenzi, R. 1989, in Wavelets. Time–Frequency Methods and Phase Space, eds. J.-M. Combes, A. Grossmann, & P. Tchamitchian, 239 [CrossRef] [Google Scholar]
  45. Narayan, R., & Nityananda, R. 1986, ARA&A, 24, 127 [Google Scholar]
  46. Ochs, P., Chen, Y., Brox, T., & Pock, T. 2014, SIAM J. Imaging Sci., 7, 1388 [CrossRef] [Google Scholar]
  47. Onose, A., Carrillo, R. E., Repetti, A., et al. 2016, MNRAS, 462, 4314 [NASA ADS] [CrossRef] [Google Scholar]
  48. Onose, A., Dabbech, A., & Wiaux, Y. 2017, MNRAS, 469, 938 [NASA ADS] [CrossRef] [Google Scholar]
  49. Pratley, L., McEwen, J. D., d’Avezac, M., et al. 2018, MNRAS, 473, 1038 [Google Scholar]
  50. Rau, U., & Cornwell, T. J. 2011, A&A, 532, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Raymond, A. W., Palumbo, D., Paine, S. N., et al. 2021, ApJS, 253, 5 [Google Scholar]
  52. Regpy 2019, regpy: Python tools for regularization methods, https://github.com/regpy/regpy [Google Scholar]
  53. Roelofs, F., et al. 2022, Galaxies, in press [Google Scholar]
  54. Schwab, F. R. 1984, AJ, 89, 1076 [NASA ADS] [CrossRef] [Google Scholar]
  55. Starck, J. L., & Murtagh, F. 2006, Astronomical Image and Data Analysis (Springer) [CrossRef] [Google Scholar]
  56. Starck, J.-L., Bijaoui, A., Lopez, B., & Perrier, C. 1994, A&A, 283, 349 [NASA ADS] [Google Scholar]
  57. Starck, J.-L., Murtagh, F., & Fadili, J. 2015, Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis, 2nd edn, 1 [Google Scholar]
  58. Stollnitz, E., Derose, T., & Salesin, D. 1994, IEEE Comput. Graph. Applic., 15 [Google Scholar]
  59. Thiébaut, É., & Young, J. 2017, J. Opt. Soc. Am. A, 34, 904 [Google Scholar]
  60. Thompson, A., Moran, J., & Swenson, G. 1994, Interferometry and Synthesis in Radio Astronomy (Krieger Publishing Company) [Google Scholar]
  61. Tiede, P., Broderick, A. E., & Palumbo, D. C. M. 2020, ApJ, submitted [arXiv:2012.07889] [Google Scholar]
  62. Wakker, B. P., & Schwarz, U. J. 1988, A&A, 200, 312 [NASA ADS] [Google Scholar]
  63. Wiaux, Y., Jacques, L., Puy, G., Scaife, A. M. M., & Vandergheynst, P. 2009, MNRAS, 395, 1733 [NASA ADS] [CrossRef] [Google Scholar]
  64. Xiao, J., Ng, M. K.-P., & Yang, Y.-F. 2015, IEEE Trans. Image Process., 24, 1587 [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.