1-Bit compressive sensing

CISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Volumn , Issue , 2008, Pages 16-21

  Boufounos, Petros T ^a   Baraniuk, Richard G ^a  

^a Rice University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL CONFERENCE; COMPRESSIVE SENSING; CONVEX OPTIMIZATION; INNER PRODUCTS; MULTI-LEVEL; RANDOM MEASUREMENTS; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION METHODS; SCALING FACTORS; SIGN CONSTRAINTS; SIGN INFORMATION; SIGNAL ACQUISITIONS; TEST FUNCTIONS;

CANNING; COMMUNICATION; CYBERNETICS; INFORMATION MANAGEMENT; INFORMATION SCIENCE; MEASUREMENTS; OPTIMIZATION; REPAIR; RESTORATION; SIGNAL RECONSTRUCTION; TECHNOLOGY TRANSFER;

SIGNAL PROCESSING;

EID: 51849141504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2008.4558487     Document Type: Conference Paper

References (16)

1. D. Donoho, "Compressed Sensing" IEEE Trans. Info. Theory., vol. 52, no. 4, pp. 1289-1306, Sep. 2006.
2. E. J. Candès and T. Tao, "Near optimal signal recovery from random projections: Universal encoding strategies?" IEEE Trans. Info. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006.
3. E. J. Candès, J. Romberg, and T. Tao, "Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information," IEEE Trans. Info. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
4. E. Candès, J. Romberg, and T. Tao, "Stable Signal Recovery from Incomplete and Inaccurate Measurements," Comm. Pure and Applied Math., vol. 59, no. 8, pp. 1207-1223, Aug. 2006.
5. E. J. Candès, "Compressive sampling," in Proc. International Congress of Mathematicians, vol. 3, Madrid, Spain. 2006, pp. 1433-1452.
6. P. M. Aziz, H. V. Sorensen, and J. V. D. Spiegel. "An overview of Sigma-Delta converters," IEEE Signal Processing Magazine, vol. 13, no. 1, pp. 61-84, Jan. 1996.
7. J. C. Candy and G. C. Tellies, Eds., Oversampling Delta-Sigma Converters. IEEE Press, 1992.
8. N: Analysis, synthesis, and algorithms," IEEE Trans. Info. Theory, vol. 44, no. 1, pp. 16-31, Jan. 1998.
9. 1-norm near-solution approximates the sparsest nearsolution," Comm. Pure and Applied Math., vol. 59, no. 7. pp. 907-934, 2006. [Online]. Available: http://dx.doi.org/10.1002/cpa.20131
10. 1-norm solution is also the sparsest solution," Comm. Pure and Applied Math., vol. 59, no. 6, pp. 797-829, 2006. [Online]. Available: http://dx.doi.org/10.1002/cpa.20132
11. E. Candès and T. Tao, "Decoding by linear programming," IEEE Trans. Info. Theory, vol. 51, no. 12. pp. 4203-4215. Dec. 2005.
12. B. Efron. T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," Annals of Statistics, vol. 32, no. 2, pp. 407-499, Apr. 2004.
13. 1-regularized minimization with applications to compressed sensing." Rice University, CAAM Tech. Report TR07-07, July 2007. [Online]. Available: http://www.caam.rice.edu/yzhang/reports/tr0707.pdf
14. M. A. T. Figueiredo, R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," n the IEEE Journal of Selected Topics in Signal Processing: Special Issue on Convdex Optimization Methods for Signal Processing, vol. 1, no. 4, pp. 586-597, Dec. 2007.
15. E. van den Berg and M. P. Friedlander, "Probing the Pareto frontier for basis pursuit solutions," Department of Computer Science, University of British Columbia, Tech. Rep. TR-2008-01, January 2008, Preprint available at http://www.optimizationonline.org/DB_HTML/2008/01/1889.html.
16. P. Boufounos and R. G. Baraniuk, "Reconstructing sparse signals from their zero crossings." in IEEE International Conference on Acoustics, Speech, and Signal Processing 2008 (ICASSP'08).