Understand the relationship between information theory and the physics of wave
propagation with this expert guide. Balancing fundamental theory with engineering …

Linear canonical transforms play an important role in many fields of optics and signal
processing. Well-known transforms such as the Fourier transform, the fractional Fourier …

Functionally relevant slow conformational motions of proteins are, at present, in most cases
inaccessible to molecular dynamics (MD) simulations. The main reason is that the major part …

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 …

This paper addresses the problem of sampling non-bandlimited signals within the Finite
Rate of Innovation (FRI) setting. We had previously shown that, by using sampling kernels …

We study nonuniform sampling in shift-invariant spaces and the construction of Gabor
frames with respect to the class of totally positive functions whose Fourier transform factors …

Digital applications have developed rapidly over the last few decades. Since many sources
of information are of analog or continuous-time nature, discrete-time signal processing …

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 …

While the recent theory of compressed sensing provides an opportunity to overcome the
Nyquist limit in recovering sparse signals, a solution approach usually takes the form of an …