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Rakeness and beyond in zero-complexity digital compressed sensing: A down-to-bits case study.

Mauro MangiaFabio PareschiRiccardo RovattiGianluca Setti
Published in: BioCAS (2016)
Keyphrases
  • compressed sensing
  • case study
  • image reconstruction
  • natural images
  • sparse representation
  • random projections
  • worst case
  • multiscale
  • fourier domain
  • compressive sampling
  • orthogonal matching pursuit