19 search results - page 4 / 4 » Turbo reconstruction of structured sparse signals |
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
ICA
2012
Springer
12 years 1 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...