Recovery of Missing Samples with Sparse Approximations.

Autor:	Salomon, Benjamin G.
Předmět:	ORTHOGONAL matching pursuit SPARSE approximations DISCRETE Fourier transforms PROBLEM solving SIGNAL processing MISSING data (Statistics)
Zdroj:	ISRN Signal Processing; 2013, p1-5, 5p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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