A unified view of the area of sparse signal processing is presented in tutorial form by
bringing together various fields in which the property of sparsity has been successfully …

Relatively few remains of Late Pliocene hominids' knap** activities have been recovered
to date, and these have seldom been studied in terms of manual dexterity and technical …

We present an iterative nonparametric approach to spectral estimation that is particularly
suitable for estimation of line spectra. This approach minimizes a cost function derived from …

This chapter presents methods for the reconstruction of band-limited functions from irregular
samples. The first part discusses algorithms for a constructive solution of the irregular …

A constructive solution of the irregular sampling problem for band-limited functions is given.
We show how a band-limited function can be completely reconstructed from any random …

Signal processing on graph is attracting more and more attentions. For a graph signal in the
low-frequency subspace, the missing data associated with unsampled vertices can be …

We present a new``second generation" reconstruction algorithm for irregular sampling, i\@.
e\@. for the problem of recovering a band-limited function from its non-uniformly sampled …

Advanced Topics in Shannon Sampling and Interpolation Theory is the second volume of a
textbook on signal analysis solely devoted to the topic of sampling and restoration of …

This paper introduces a filterbank interpretation of various sampling strategies, which leads
to efficient interpolation and reconstruction methods. An identity, which is referred to as the …

In this paper, we consider the problem of reconstructing the digital spectrum from a set of
nonuniformly spaced time samples of a signal. Specifically, we deal with the situation where …