Using reed-muller sequences as deterministic compressed sensing matrices for image reconstruction

Abstract

An image reconstruction algorithm using compressed sensing (CS) with deterministic matrices of second-order Reed-Muller (RM) sequences is introduced. The 1D algorithm of Howard et al. using CS with RM sequences suffers significant loss in speed and accuracy when the degree of sparsity is not high, making it inviable for 2D signals. This paper describes an… (More)
DOI: 10.1109/ICASSP.2010.5495714

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