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Single Photon Compressive Sensing

  • Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We experimentally demonstrate a compressive sensing method by utilizing single-pixel detection at a single-photon level and deep neural network. As a benchmark test, MNIST handwritten digits are classified with 98.8% accuracy.

Original languageEnglish
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
ISBN (Electronic)9781957171296
DOIs
StatePublished - 2023
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: 9 Oct 2023 → 12 Oct 2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period9/10/23 → 12/10/23

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