'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
This note extends the superset method for sparse signal recovery from bandlimited measurements to the two-dimensional case. The algorithm leverages translation-invariance of the Fourier basis functions by constructing a Hankel tensor, and identifying the signal subspace from its range space. In the noisy case, this method determines a superset which then needs to undergo pruning. The method displays reasonable robustness to noise, and unlike ℓ [subscript 1] minimization, always succeeds in the noiseless case.United States. Air Force Office of Scientific ResearchTOTAL (Firm)Alfred P. Sloan FoundationNational Science Foundation (U.S.)United States. Office of Naval Researc
