Title :
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
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;
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
DOI :
10.1109/ICAPP.1997.651530
