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Rakeness-based compressed sensing on ultra-low power multi-core biomedicai processors.
Daniele Bortolotti
Mauro Mangia
Andrea Bartolini
Riccardo Rovatti
Gianluca Setti
Luca Benini
Published in:
DASIP (2014)
Keyphrases
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compressed sensing
image reconstruction
random projections
ultra low power
sparse representation
natural images
signal processing
compressive sampling
computer vision
k means
parallel processing
orthogonal matching pursuit
data sets
feature vectors
image restoration