A FPGA-based implementation of a fault-tolerant neural architecture for photon identification

  • Authors:

  • M. Alderighi;E. L. Gummati;V. Piuri;G. R. Sechi

  • Affiliations:

  • Istituto di Fisica Cosmica e Tecnologie Relative, Consiglio Nazionale delle Ricerche, Via Bassini 15, I-20133 Milano, Italy;Dipartimento di Fisica, Universita degli Studi di Milano, Via Celoria 21, I-20133 Milano, Italy;Dipartimento di Elettronica e Informazione, Politecnico di Milano, P.za L. Da Vinci 32, I-20133 Milano, Italy;Istituto di Fisica Cosmica e Tecnologie Relative, Consiglio Nazionale delle Ricerche, Via Bassini 15, I-20133 Milano, Italy

  • Venue:
  • FPGA '97 Proceedings of the 1997 ACM fifth international symposium on Field-programmable gate arrays
  • Year:
  • 1997

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Abstract

Event identification in photon counting ICCD detectors requires a high level image analysis which cannot be easily described algorithmically: neural networks are promising to approach this application. A system capable of identifying these events on board of satellites needs fault tolerant capabilities to certify result correctness. The rapid evolution of the problem specification, due to the increasing knowledge about the physics, makes attractive the availability and modifiability of prototypes: FPGA-based design is effective to realize these systems. The paper presents therefore an FPGA-based implementation of a fault tolerant neural architecture for event identification.