Near-optimal adaptive Compressed Sensing

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2012, Pages 1935-1939

  Malloy, Matthew L ^a   Nowak, Robert D ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SENSING; GROUP TESTING; NEAR-OPTIMAL; POINT OF VIEWS; SIGNAL TO NOISE; SIMPLE ADAPTIVE; THEORETICAL GUARANTEES;

OPTIMIZATION; SIGNAL RECONSTRUCTION; SIGNAL TO NOISE RATIO;

ALGORITHMS;

EID: 84876272375     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2012.6489376     Document Type: Conference Paper

References (12)

1. M. Duarte, M. Davenport, D. Takhar, J. Laska, T. Sun, K. Kelly, and R. Baraniuk, "Single-pixel imaging via compressive sampling," Signal Processing Magazine, IEEE, vol. 25, no. 2, pp. 83-91, 2008.
2. V. Studer, J. Bobin, M. Chahid, H. Mousavi, E. Candes, and M. Dahan, "Compressive fluorescence microscopy for biological and hyperspectral imaging," Proceedings of the National Academy of Sciences, vol. 109, no. 26, pp. E1679-E1687, 2012.
3. M. Wainwright, "Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting," Information Theory, IEEE Transactions on, vol. 55, no. 12, pp. 5728 -5741, dec. 2009.
4. S. Aeron, V. Saligrama, and M. Zhao, "Information theoretic bounds for compressed sensing," Information Theory, IEEE Transactions on, vol. 56, no. 10, pp. 5111 -5130, oct. 2010.
5. R. M. Castro, "Adaptive Sensing Performance Lower Bounds for Sparse Signal Estimation and Testing," ArXiv e-prints, Jun. 2012.
6. M. Malloy and R. Nowak, "Sequential analysis in high-dimensional multiple testing and sparse recovery," in Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on. IEEE, 2011.
7. S. Ji, Y. Xue, and L. Carin, "Bayesian compressive sensing," Signal Processing, IEEE Transactions on, vol. 56, no. 6, pp. 2346-2356, 2008.
8. M. Iwen and A. Tewfik, "Adaptive compressed sensing for sparse signals in noise," in Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on. IEEE, 2011, pp. 1240-1244.
9. M. A. Davenport and E. Arias-Castro, "Compressive binary search," ArXiv e-prints, Feb. 2012. [Online]. Available: http://arxiv.org/abs/1202.0937
10. J. Haupt, R. Baraniuk, R. Castro, and R. Nowak, "Sequentially designed compressed sensing," 2012.
11. M. L. Malloy and R. D. Nowak, "Near-Optimal Compressive Binary Search," ArXiv e-prints, Mar. 2012. [Online]. Available: http://arxiv.org/abs/1203.1804
12. A. Frank and A. Asuncion, "UCI machine learning repository," 2010. [Online]. Available: http://archive.ics.uci.edu/ml