Highly Enhanced Pattern Recognition with a Balanced Joint Transform Correlator

Julian Gamboa*, Tabassom Hamidfar, Xi Shen, Shamima A. Mitu, Selim M. Shahriar

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

We describe an opto-electronic balanced joint transform correlator that optimizes the dynamic range of the output spatial light modulator to improve by several orders of magnitude the signal to noise ratio for pattern recognition.

Original languageEnglish (US)
StatePublished - 2024
EventCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics - Charlotte, United States
Duration: May 5 2024May 10 2024

Conference

ConferenceCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics
Country/TerritoryUnited States
CityCharlotte
Period5/5/245/10/24

ASJC Scopus subject areas

  • General Computer Science
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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