1 |
D.L. Donoho, "Compressed Sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, 2006, pp. 1289-1306.
DOI
ScienceOn
|
2 |
C.R. Berger et al., "Sparse Channel Estimation for Multicarrier Underwater Acoustic Communication: From Subspace Methods to Compressed Sensing," IEEE Trans. Signal Process., vol. 58, no. 3, 2010, pp. 1708-1721.
DOI
ScienceOn
|
3 |
M. Lustig, D. Donoho, and J.M. Pauly, "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging," Magn. Resonance Medicine, vol. 58, no. 6, 2007, pp. 1182-1195.
DOI
ScienceOn
|
4 |
J. Bobin, J.L. Starck, and R. Ottensamer, "Compressed Sensing in Astronomy," IEEE J. Sel. Topics Signal Process., vol. 2, no. 5, 2008, pp. 718-726.
DOI
ScienceOn
|
5 |
M.A. Herman and T. Strohmer, "High-Resolution Radar via Compressed Sensing," IEEE Trans. Signal Process., vol. 57, no. 6, 2009, pp. 2275-2284.
DOI
ScienceOn
|
6 |
J. Ma, "Single-Pixel Remote Sensing," IEEE Geosci. Remote Sensing Lett., vol. 6, no. 2, 2009, pp. 199-203.
DOI
ScienceOn
|
7 |
E. Candès, J. Romberg, and T. Tao, "Stable Signal Recovery from Incomplete and Inaccurate Measurements," Commun. Pure Appl. Mathematics, vol. 59, no. 8, 2006, pp. 1207-1223.
DOI
ScienceOn
|
8 |
S.S. Chen, D.L. Donoho, and M.A. Saunders, "Atomic Decomposition by Basis Pursuit," SIAM J. Sci. Computing, vol. 20, no. 1, 1999, pp. 33-61.
|
9 |
E. Candès and T. Tao, "Decoding by Linear Programming," IEEE Trans. Inf. Theory, vol. 51, no. 12, 2005, pp. 4203-4215.
DOI
ScienceOn
|
10 |
E. Candès, "The Restricted Isometry Property and Its Implications for Compressed Sensing," Comptes Rendus Mathematique, vol. 346, no. 9-10, 2008, pp. 589-592.
DOI
ScienceOn
|
11 |
J. Tropp and A.C. Gilbert, "Signal Recovery from Random Measurements via Orthogonal Matching Pursuit," IEEE Trans. Inf. Theory, vol. 53, no. 12, 2007, pp. 4655-4666.
DOI
ScienceOn
|
12 |
S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge: Cambridge University Press, 2004.
|
13 |
R. Hecht-Nielsen, "Context Vectors: General Purpose Approximate Meaning Representations Self-Organized from Raw Data," Computational Intelligence: Imitating Life, J. Zurada, R. Marks, and C. Robinson, Eds., IEEE Press, 1994, pp. 43-56.
|
14 |
D. Achlioptas, "Database-Friendly Random Projections," Proc. Symp. Principles Database Syst., Santa Barbara, CA, USA, May 2001, pp. 274-281.
|
15 |
E. Candès and T. Tao, "Near Optimal Signal Recovery from Random Projections: Universal Encoding Strategies?" IEEE Trans. Inf. Theory, vol. 52, no. 12, 2006, pp. 5406-5425.
DOI
ScienceOn
|
16 |
R. Baraniuk et al., "A Simple Proof of the Restricted Isometry Property for Random Matrices," Constructive Approximation, vol. 28, no. 3, 2008, pp. 253-263.
DOI
ScienceOn
|
17 |
J. Tropp et al., "Beyond Nyquist: Effcient Sampling of Sparse, Bandlimited Signals," IEEE Trans. Inf. Theory, vol. 56, no. 1, 2010, pp. 520-544.
DOI
ScienceOn
|
18 |
J.G. Proakis and D.K. Manolakis, Digital Signal Processing, 4th ed., Upper Saddle River, NJ: Prentice Hall, 2006.
|
19 |
S.M. Ross, Introduction to Probability Theory, New York: Academic Press, 1981.
|
20 |
E. Candes and J. Romberg, 1-Magic: reconstruction of sparse signals. Available: http://users.ece.gatech.edu/-justin/l1magic/
|