Recovery of Missing Samples with Sparse Approximations. (7th October 2013)

• Record Type: Journal Article
• Authors: Salomon, Benjamin G.
• Other Names: Bhatia S. K. Academic Editor.; Liu W. Academic Editor.
• Is Part Of: ISRN signal processing. Volume 2013(2013)
• Publication Date: 2013-10-07
• Subjects: Signal processing -- Periodicals; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2013/830723
• Languages: English
• ISSNs: 2090-5041

Abstract

Abstract : In most missing samples problems, the signals are assumed to be bandlimited. That is, the signals are assumed to be sparsely approximated by a known subset of the discrete Fourier transform basis vectors. We discuss the recovery of missing samples when the signals can be sparsely approximated by an unknown subset of certain unitary basis vectors. We propose the use of the orthogonal matching pursuit to recover missing samples by sparse approximations.