Article - preprint
Two-part reconstruction is a framework for signal recovery in compressed sensing (CS), in which the advantages of two different algorithms are combined. Our framework allow s to accelerate the reconstruction procedure without compromising the reconstruction quality. To illustrate the efficacy of ou r two-part approach, we extend the author’s previous Sudocodes algorithm and make it robust to measurement noise. In a 1- bit CS setting, promising numerical results indicate that our algorithm offers both a reduction in run-time and improvement in reconstruction quality
© 2013 Ma, Baron, Needell
Ma, Y., Baron, D., Needell, D., "Two-Part Reconstruction in Compressed Sensing", Submitted, arXiv preprint arXiv:1306.5776, 2013.