The neural network algorithms for correction of signals distorted in photodetectors

V. Apanasovich, V. Lutkovski, P. Nazarov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationVIMS 2001 - 2001 IEEE International Workshop on Virtual and Intelligent Measurement Systems
Subtitle of host publicationIntegrating Heterogeneous Components into Composite Systems for Quantitative Intelligent Virtual Reality
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-114
Number of pages4
ISBN (Electronic)0780365682, 9780780365681
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventIEEE International Workshop on Virtual and Intelligent Measurement Systems, VIMS 2001 - Budapest, Hungary
Duration: 19 May 200120 May 2001

Publication series

NameVIMS 2001 - 2001 IEEE International Workshop on Virtual and Intelligent Measurement Systems: Integrating Heterogeneous Components into Composite Systems for Quantitative Intelligent Virtual Reality

Conference

ConferenceIEEE International Workshop on Virtual and Intelligent Measurement Systems, VIMS 2001
Country/TerritoryHungary
CityBudapest
Period19/05/0120/05/01

Keywords

  • Artificial neural networks
  • Detectors
  • Intelligent networks
  • Neural networks
  • Neurons
  • Optical computing
  • Optical distortion
  • Optical pulses
  • Photodetectors
  • Radar detection

Fingerprint

Dive into the research topics of 'The neural network algorithms for correction of signals distorted in photodetectors'. Together they form a unique fingerprint.

Cite this