To date, frames have established themselves as a standard notion in applied mathematics,
computer science, and engineering as a means to derive redundant, yet stable …

We consider efficient methods for the recovery of block-sparse signals-ie, sparse signals that
have nonzero entries occurring in clusters-from an underdetermined system of linear …

G-frames are generalized frames which include ordinary frames, bounded invertible linear
operators, as well as many recent generalizations of frames, eg, bounded quasi-projectors …

Let [Formula: see text] be a (redundant) sequence of subspaces of a Hilbert space each
being endowed with a weight vi, and let H be the closed linear span of the Wis, a composite …

The goal of this paper is to develop fast algorithms for signal reconstruction from magnitudes
of frame coefficients. This problem is important to several areas of research in signal …

K-frames were recently introduced by Găvruţa in Hilbert spaces to study atomic systems with
respect to a bounded linear operator. From her discussions there are many differences …

This survey gives an introduction to redundant signal representations called frames. These
representations have recently emerged as yet another powerful tool in the signal processing …

g-Frames are natural generalizations of frames which cover many other recent
generalizations of frames, eg, bounded quasi-projectors, frames of subspaces, outer frames …

Data sets are often modeled as samples from a probability distribution in RD, for D large. It is
often assumed that the data has some interesting low-dimensional structure, for example …

The fusion frames were considered recently by PG Casazza, G. Kutyniok and S. Li in
connection with distributed processing and are related to the construction of global frames …