An FPGA-based on-line neural system in photon counting intensified imagers for space applications

Author

Alderighi, M. ; D´Angelo, S. ; Sechi, G.R. ; D´Ovidio, F.

Author_Institution

Ist. di Fisica Cosmica e Tecnologie Relative, CNR, Milano, Italy

fYear

1997

fDate

10-12 Dec 1997

Firstpage

651

Lastpage

658

Abstract

A computational system based on a synchronous feedback neural network for the online event processing of a photon counting intensified CCD detector is presented. The hardware prototype, implemented by means of FPGA technology, consists of 5×5 and is able to identify photon events against spurious and/or noise events. It shows a high level of flexibility, which is essential in the characterization phase of the detector. It allows to implement different kinds of neurons, having different output functions and internal architectures, and to run actual, as well as virtual, networks of neurons

Keywords

field programmable gate arrays; CCD detector; FPGA; computational system; hardware prototype; noise; online event processing; online neural system; photon counting intensified imagers; space applications; synchronous feedback neural network; Charge coupled devices; Computer networks; Detectors; Event detection; Hardware; Neural networks; Neurofeedback; Neurons; Optical computing; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Algorithms and Architectures for Parallel Processing, 1997. ICAPP 97., 1997 3rd International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-4229-1

Type

conf

DOI

10.1109/ICAPP.1997.651530

Filename

651530