pith. sign in

arxiv: 1003.0415 · v1 · pith:6P2PI3OJnew · submitted 2010-03-01 · 💻 cs.IT · math.IT

The Sparsity Gap: Uncertainty Principles Proportional to Dimension

classification 💻 cs.IT math.IT
keywords representationsparseatomssignalsadmitdictionaryincoherentsignal
0
0 comments X
read the original abstract

In an incoherent dictionary, most signals that admit a sparse representation admit a unique sparse representation. In other words, there is no way to express the signal without using strictly more atoms. This work demonstrates that sparse signals typically enjoy a higher privilege: each nonoptimal representation of the signal requires far more atoms than the sparsest representation-unless it contains many of the same atoms as the sparsest representation. One impact of this finding is to confer a certain degree of legitimacy on the particular atoms that appear in a sparse representation. This result can also be viewed as an uncertainty principle for random sparse signals over an incoherent dictionary.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.