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A novel FPGA-based track reconstruction approach for the level-1 trigger of the CMS experiment at CERN.

Robin AggletonLuis E. Ardila-PerezFionn Amhairghen BallMatthias Norbert BalzerJames John BrookeLuigi CalligarisMichele CaselleDavide CieriEmyr John ClementGeoffrey HallKristian HarderPeter R. HobsonGregory M. IlesThomas JamesKonstantinos ManolopoulosTakashi MatsushitaAlexander D. MortonDavid NewboldSudarshan ParamesvaranMark Franco PesaresiIvan D. ReidAndrew W. RoseOliver SanderThomas SchuhClaire Shepherd-ThemistocleousAntoni ShtipliyskiSioni Paris SummersAlexander TapperIan TomalinKirika UchidaPaschalis VichoudisMarc Weber
Published in: FPL (2017)
Keyphrases
  • image reconstruction
  • three dimensional
  • high resolution
  • data sets
  • machine learning
  • higher level
  • efficient implementation
  • decision trees
  • video sequences
  • signal processing
  • compressed sensing