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
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;
Conference_Titel :
Virtual and Intelligent Measurement Systems, 2001, IEEE International Workshop on. VIMS 2001
Conference_Location :
Budapest
Print_ISBN :
0-7803-6568-2
DOI :
10.1109/VIMS.2001.924911
