Title :
The sparsity gap: Uncertainty principles proportional to dimension
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
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 :
indeterminancy; signal representation; sparse matrices; incoherent dictionary; legitimacy; nonoptimal representation; random sparse signals; sparsity gap; uncertainty principles; unique sparse representation; Atomic measurements; Dictionaries; H infinity control; Sparks; Sparse matrices; Uncertainty;
Conference_Titel :
Information Sciences and Systems (CISS), 2010 44th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-7416-5
Electronic_ISBN :
978-1-4244-7417-2
DOI :
10.1109/CISS.2010.5464824