Compressive MUSIC with optimized partial support for joint sparse recovery

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2011, Pages 658-662

  Kim, Jong Min ^a   Lee, Ok Kyun ^a   Ye, Jong Chul ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARRAY SIGNAL PROCESSING; CONVENTIONAL ALGORITHMS; HYBRID APPROACH; MULTIPLE MEASUREMENT VECTORS; SENSOR ARRAY SIGNAL PROCESSING; SPARSE RECOVERY; SUBSPACE FITTING; SUFFICIENT CONDITIONS; UNKNOWN INPUTS;

INFORMATION THEORY; OPTIMIZATION; SENSOR ARRAYS; SIGNAL RECONSTRUCTION; VECTORS;

RECOVERY;

EID: 80054808061     PISSN: 21578104     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2011.6034213     Document Type: Conference Paper

References (10)

1. J. Chen and X. Huo. Theoretical results on sparse representations of multiple measurement vectors. IEEE Trans. on Signal Processing, 54(12):4634-4643, 2006.
2. M. E. Davies and Y. C. Eldar. Rank awareness for joint sparse recovery. arXiv:1004.4529, 2010.
3. P. Feng. Universal minimum-rate sampling and spectrum-blind reconstruction for multiband signals. Dissertation, University of Illinois, Urbana-Champaign, 1997.
4. J. M. Kim, O. K. Lee, and J. C. Ye. Compressive MUSIC: a missing link between compressive sensing and array signal processing. arXiv:1004.4398, 2010.
5. Jong Min Kim, Ok Kyun Lee, and Jong Chul Ye. Compressive MUSIC with optimized partial support for joint sparse recovery. arXiv:1102.3288, 2011.
6. Jongmin Kim, Woohyuk Chang, Bangchul Jung, Dror Baron, and Jong Chul Ye. Belief propagation for joint sparse recovery. arXiv:1102.3289, 2011.
7. K. Lee and Y. Bresler. Subspace-augmented MUSIC for joint sparse recovery. arXiv:1004.4371, 2010.
8. D. Malioutov, M. Cetin, and A. S. Willsky. A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. on Signal Processing, 53(8):3010-3022, 2005.
9. Galen Reeves and Michael Gastpar. Sampling bounds for sparse support recovery in the presence of noise. In IEEE International Symposium on Information Theory, pages 2187-2191, Toronto, Canada, July 6-11 2008.
10. R. Schmidt. Multiple emitter location and signal parameter estimation. IEEE Trans. on Antennas and Propagation, 34(3):276-280, 1986.