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Robust Dequantized Compressive Sensing
compressive sensing signal reconstruction quantization optimization.
2012/9/18
We consider the reconstruction problem in compressed sensing in which the observations are recorded in a finite number of bits. They may thus contain quantization errors (from being rounded to the nea...
Compressive Sensing Using Low Density Frames
Low density frames compressive sensing sumproduct algorithm expectation maximization Gaussian scalemixtures
2010/3/19
We consider the compressive sensing of a sparse or
compressible signal x 2 RM. We explicitly construct a class of
measurement matrices, referred to as the low density frames,
and develop decoding a...