Meshfree approximation methods are a relatively new area of research, and there are only a
few books covering it at present. Whereas other works focus almost entirely on theoretical …

In this paper, we propose a patch-based image inpainting method using a low-rank Hankel
structured matrix completion approach. The proposed method exploits the annihilation …

We introduce novel image regularization penalties to overcome the practical problems
associated with the classical total variation (TV) scheme. Motivated by novel …

The objective of generalized sampling expansion (GSE) is the reconstruction of an
unknown, continuously defined function f (t) from samples of the responses from M linear …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

Meshfree methods are the topic of recent research in many areas of computational science
and approximation theory. These methods come in various flavors, most of which can be …

We introduce a family of novel image regularization penalties called generalized higher
degree total variation (HDTV). These penalties further extend our previously introduced …

We consider one-dimensional (1-D) linear inverse problems that are formulated in the
continuous domain. The object of recovery is a function that is assumed to minimize a …

In this paper we introduce a generalized Sobolev space by defining a semi-inner product
formulated in terms of a vector distributional operator P consisting of finitely or countably …

The integration of mapping techniques with suitable methods for the characterization and
visualization of propagation patterns may enhance the targeting of critical arrhythmic areas …