
Student Publications
Superresolution of three point-sources assisted with machine learning
Document Type
Conference Proceeding
Abstract
We demonstrate super-resolved localization of three point sources with the assistance of a machine learning model that is based on the decomposition of the source signal into Hermite Gaussian modes. High fidelity of over 80% is achieved.
Publication Title
Frontiers in Optics, FiO 2024 in Proceedings Frontiers in Optics + Laser Science 2024 (FiO, LS)
Publication Date
2024
ISBN
9781957171951
DOI
10.1364/FIO.2024.JTu4A.47
Repository Citation
Benzimoun, Bilal; Sajia, Abdelali; and Qian, Xiao-Feng, "Superresolution of three point-sources assisted with machine learning" (2024). Student Publications. 42.
https://commons.clarku.edu/student_publications/42