{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/turbulence-correction-with-artificial-neural","title":"Turbulence correction with artificial neural networks","arxiv_id":"1806.07456","date":"2018-06-19","proceeding":null,"authors":[],"abstract":"We design an optical feedback network making use of machine learning\ntechniques and demonstrate via simulations its ability to correct for the\neffects of turbulent propagation on optical modes. This artificial neural\nnetwork scheme only relies on measuring the intensity profile of the distorted\nmodes, making the approach simple and robust. The network results in the\ngeneration of various mode profiles at the transmitter that, after propagation\nthrough turbulence, closely resemble the desired target mode. The corrected\noptical mode profiles at the receiver are found to be nearly identical to the\ndesired profiles, with near-zero mean square error indices. We are hopeful that\nthe present results combining the fields of machine learning and optical\ncommunications will greatly enhance the robustness of free-space optical links.","url_abs":"http://arxiv.org/abs/1806.07456v1","url_pdf":"http://arxiv.org/pdf/1806.07456v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"turbulence-correction-with-artificial-neural","repo_url":"https://github.com/slohani-ai/LG-OAM-simulations-with-Tensors","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}