Name
Abstract | ||
|---|---|---|
We propose a sparse modal estimation approach for analyzing 2-D NMR signals. It consists in decomposing the 2-D problem into two 1-D modal estimations. Each 1-D problem is formulated in terms of simultaneous sparse approximation which is efficiently solved using the Simultaneous Orthogonal Matching Pursuit method associated with a multi-grid dictionary refinement. Then, we propose a new criterion for mode pairing which comes down to solve a sparse approximation problem involving a low dimensional dictionary. The effectiveness of the method is demonstrated on real NMR data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6639375 | ICASSP |
Keywords | Field | DocType |
modal retrieval,2-d nmr,multi-grid,estimation theory,2d nmr signal,sparse approximation,compressed sensing,nmr spectroscopy,1d modal estimation,orthogonal matching pursuit method,sparse modal estimation,low dimensional dictionary,multigrid dictionary refinement,iterative methods,nuclear magnetic resonance,damping,dictionaries,estimation,sparse matrices | Matching pursuit,Mathematical optimization,K-SVD,Pattern recognition,Iterative method,Computer science,Sparse approximation,Pairing,Artificial intelligence,Estimation theory,Modal,Compressed sensing | Conference |
ISSN | Citations | PageRank |
1520-6149 | 4 | 0.50 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Souleymen Sahnoun | 1 | 30 | 4.55 |
| El-Hadi Djermoune | 2 | 35 | 9.87 |
| David Brie | 3 | 130 | 24.28 |