Opto-electronic Balanced Joint Transform Correlator as a Convolution Stage for Neural Networks

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

Research output: Contribution to conferencePaperpeer-review

Abstract

Opto-electronic correlators are able to perform high-speed convolutions with minimal processing and power requirements. Here, we propose the use of a balanced joint transform correlator as a convolution stage for a convolutional neural network.

Original languageEnglish (US)
StatePublished - 2024
Event2024 Laser Science, LS 2024 - Denver, United States
Duration: Sep 23 2024Sep 26 2024

Conference

Conference2024 Laser Science, LS 2024
Country/TerritoryUnited States
CityDenver
Period9/23/249/26/24

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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