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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2949996
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