Title :
Maximally Robust Redundant System with Minimal Coherence
Author_Institution :
Univ. of South Carolina, Columbia
Abstract :
In compressed sensing theory, small dictionary coherence is desirable in both obtaining and recovering sparse signal representations in a redundant system. It has been known that equiangular tight frames are optimal redundant systems with minmal coherence in M.
Keywords :
coherence; signal representation; compressed sensing theory; dictionary coherence; equiangular tight frame; maximal robust redundant system; minimal coherence; sparse signal representation recovery; Compressed sensing; Data compression; Dictionaries; Error correction; Error correction codes; Greedy algorithms; Matrix decomposition; Robustness; Signal representations;
Conference_Titel :
Data Compression Conference, 2008. DCC 2008
Conference_Location :
Snowbird, UT
Print_ISBN :
978-0-7695-3121-2
DOI :
10.1109/DCC.2008.16
