The neural network algorithms for correction of signals distorted in photodetectors

被引：0
|
作者：
Apanasovich, V [1 ]
Lutkovski, V [1 ]
Nazarov, P [1 ]
机构：
[1] Belarusian State Univ, Fac Radiophys & Elect, Syst Anal Dept, Minsk 220050, BELARUS
来源：
2001 IEEE INTERNATIONAL WORKSHOP ON VIRTUAL AND INTELLIGENT MEASUREMENT SYSTEMS | 2001年
关键词：
neural network avalanche photodetector; multielement photodetector; pulse-response characteristic;
D O I：
10.1109/VIMS.2001.924911
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The neural network algorithms for correction of distortions in photodetectors are considered. The first one allows to eliminate the errors due to the single-photon pulses overlaping. The second algorithm is used for correction of spatial dependence of sensitivity and cross-talk effects in line image defector.
引用
收藏
页码：111 / 114
页数：4
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