This paper studies the performance limits in the support recovery of sparse signals based on
multiple measurement vectors (MMV). An information-theoretic analytical framework inspired …

ABSTRACT A method for extrapolating discrete audio signals is described. The theory of
extrapolation is studied and some applications are presented and demonstrated. The …

This chapter discusses a class of iterative and noniterative methods for the reconstruction of
partially known band-limited signals. Band-limiting is equivalent to the vanishing of a known …

In this paper, we consider the problem of exact support recovery of sparse signals via noisy
linear measurements. The main focus is finding the sufficient and necessary condition on the …

This paper derives the signal model for radar imaging of air targets from sparse azimuth
data. Then, the sparsity of two data-missing patterns, ie, the gapped data and random …

We describe and evaluate three forward sequential basis selection methods: basic matching
pursuit (BMP), order recursive matching pursuit (ORMP) and modified matching pursuit …

In the actual scene of interferometric inverse synthetic aperture radar (InISAR) imaging, the
noncooperative targets may make a nonuniform 3-D rotational motion (3-D-RM), which …

In recent years, there have been increasing interests in addressing the issue of high-
resolution inverse synthetic aperture radar (ISAR) imaging from sparse aperture (SA) data …

Formulated as a linear inverse problem, spectral estimation is particularly underdetermined
when only short data sets are available. Regularization by penalization is an appealing …

Extrapolation of time-domain discrete signals is a commonly known signal processing
procedure used for various purposes, such as in meterology, geophysics, spectroscopy …