DocumentCode
3123986
Title
The neural network algorithms for correction of signals distorted in photodetectors
Author
Apanasovich, V. ; Lutkovski, V. ; Nazarov, P.
Author_Institution
Dept. of Syst. Anal., Byelorussian State Univ., Minsk, Byelorussia
fYear
2001
fDate
2001
Firstpage
111
Lastpage
114
Abstract
Neural network algorithms for correction of distortions in photodetectors are considered. The first one allows one to eliminate the errors due to single-photon pulses overlapping. The second algorithm is used for correction of spatial dependence of sensitivity and cross-talk effects in line image detector
Keywords
crosstalk; neural nets; photodetectors; signal reconstruction; signal restoration; cross-talk effects; line image detector; neural network algorithms; overlapping single-photon pulses; photodetectors; sensitivity; signal distortion correction; spatial dependence; Artificial neural networks; Detectors; Intelligent networks; Neural networks; Neurons; Optical computing; Optical distortion; Optical pulses; Photodetectors; Radar detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual and Intelligent Measurement Systems, 2001, IEEE International Workshop on. VIMS 2001
Conference_Location
Budapest
Print_ISBN
0-7803-6568-2
Type
conf
DOI
10.1109/VIMS.2001.924911
Filename
924911
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