This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
Holger Rauhut, Karin Schnass, Pierre Vandergheynst
In this paper, we investigate the use of overhead high-resolution three-dimensional (3-D) data for enhancing the performances of an Unmanned Ground Vehicle (UGV) in vegetated terra...
Nicolas Vandapel, Raghavendra Donamukkala, Martial...
When dealing with convex functions defined on a normed vector space X the biconjugate is usually considered with respect to the dual system (X, X ), that is, as a function defined...
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...