English

The Sparsity Gap: Uncertainty Principles Proportional to Dimension

Information Theory 2016-11-18 v1 math.IT

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.

Keywords

Cite

@article{arxiv.1003.0415,
  title  = {The Sparsity Gap: Uncertainty Principles Proportional to Dimension},
  author = {Joel A. Tropp},
  journal= {arXiv preprint arXiv:1003.0415},
  year   = {2016}
}

Comments

6 pages. To appear in the Proceedings of the 44th Ann. IEEE Conf. on Information Sciences and Systems

R2 v1 2026-06-21T14:52:33.441Z