DocumentCode
2949996
Title
Recent advances in sparsity-driven signal recovery
Author
Donoho, David L. ; Tsaig, Yaakov
Author_Institution
Dept. of Stat., Stanford Univ., CA, USA
Volume
5
fYear
2005
fDate
18-23 March 2005
Abstract
We briefly recall previous literature about the interaction between sparsity and ℓ 1 minimization. We then discuss ℓ 1 minimization in geometry separation, in compressed sensing, and in compressed sensing of separable signals.
Keywords
minimisation; signal reconstruction; signal representation; source separation; ℓ 1 minimization; geometry separation; separable signal compressed sensing; sparsity-driven signal recovery; Abstracts; Compressed sensing; Deconvolution; Earth; Equations; Frequency; Geometry; Inverse problems; Reflectivity; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416403
Filename
1416403
Link To Document