Laurent Jacques
Laurent Jacques
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Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
Date
May 16, 2018
Event
ICCHA7 (May 14-18, 2018)
Location
Vanderbilt U., TN, USA.
invited talk
quantization
compressive sensing
dithering
Laurent Jacques
FNRS Senior Research Associate and Professor
Related
Taking the edge off quantization: projected back projection in dithered compressive sensing
Time for dithering! Quantized random embeddings with RIP random matrices
Time for dithering! Quantized random embeddings with RIP random matrices
A quantized view on compressive sensing systems and compressive learning methods
Compressive Acquisition of Sparse Deflectometric Maps
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