Compressive sensing for streaming signals using the streaming greedy pursuit

Proceedings - IEEE Military Communications Conference MILCOM

Volumn , Issue , 2010, Pages 1205-1210

  Boufounos, Petros T ^a   Asif, M Salman ^b  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HARDWARE ARCHITECTURE; NYQUIST RATE; RECONSTRUCTION ALGORITHMS; SPARSE SIGNALS; STREAMING APPLICATIONS;

ALGORITHMS; REAL TIME SYSTEMS; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION;

MILITARY COMMUNICATIONS;

EID: 79951654042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MILCOM.2010.5680110     Document Type: Conference Paper

References (22)

1. E.J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," Information Theory, IEEE Transactions on, vol. 52, no. 2, pp. 489-509, Feb. 2006.
2. D.L. Donoho, "Compressed sensing," Information Theory, IEEE Transactions on, vol. 52, no. 4, pp. 1289-1306, April 2006.
3. E. Candès, "Compressive sampling," Proceedings of the International Congress of Mathematicians, Madrid, Spain, vol. 3, pp. 1433-1452, 2006.
4. J.N. Laska, S. Kirolos, M.F. Duarte, T.S. Ragheb, R.G. Baraniuk, and Y. Massoud, "Theory and implementation of an analog-to-information converter using random demodulation," in Circuits and Systems, IEEE International Symposium on, May 2007, pp. 1959-1962.
5. J. Romberg, "Compressive sensing by random convolution," SIAM J. Imaging Science, 2008.
6. J. A. Tropp, J. N. Laska, M. F. Duarte, J. K. Romberg, and R. G. Baraniuk, "Beyond Nyquist: Efficient sampling of sparse, bandlimited signals," IEEE Trans. on IT, vol. 56, no. 1, pp. 520-544, Jan. 2010.
7. M. Mishali, Y.C. Eldar, and A. Elron, "Xampling-Part I: Practice," Arxiv preprint arXiv:0911.0519, 2009.
8. A. Veeraraghavan, D. Reddy, and R. Raskar, "Coded strobing photography for high-speed periodic events," IEEE Trans. Pattern Anal. Mach. Intell., to appear.
9. P. T. Boufounos and M. S. Asif, "Compressive sampling for streaming signals with sparse frequency content," 44th Annual Conference on Information Sciences and Systems, March 2010.
10. M. S. Asif, D. Reddy, P. T. Boufounos, and A. Veeraraghavan, "Streaming compressive sensing for high-speed periodic videos," (submitted).
11. D. Needell and J.A. Tropp, "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples.," Appl. Comp. Harmonic Anal, June 2008.
12. R.G. Baraniuk, V. Cevher, M.F. Duarte, and C. Hegde, "Model-based compressive sensing," IEEE Trans. Info. Theory, vol. 56, no. 4, pp. 1982-2001, April 2010.
13. P. Boufounos, "Greedy sparse signal reconstruction from sign measurements," in Asilomar Conference On Signals Systems and Computers, Pacific Grove, CA, Nov. 2009.
14. C. Hegde, M.F. Duarte, and V. Cevher, "Compressive sensing recovery of spike trains using a structured sparsity model," Signal Processing with Adaptive Sparse Structured Representations (SPARS), pp. 13-16, 2009.
15. M. Vetterli, P. Marziliano, and T. Blu, "Sampling signals with finite rate of innovation," IEEE Transactions on Signal Processing, vol. 50, no. 6, pp. 1417-1428, 2002.
16. J. A. Tropp, M. B. Wakin, M. F. Duarte, D. Baron, and R. G. Baraniuk, "Random filters for compressive sampling and reconstruction," IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, 2006.
17. M. Unser and A. Aldroubi, "A general sampling theory for nonideal acquisition devices," Signal Processing, IEEE Transactions on, vol. 42, no. 11, pp. 2915-2925, Nov 1994.
18. A.V. Oppenheim, R.W. Schafer, and J.R. Buck, Discrete-Time Signal Processing, Prentice Hall Englewood Cliffs, NJ, 2nd edition, 1999.
19. T. Blu, P.-L. Dragotti, M. Vetterli, P. Marziliano, and L. Coulot, "Sparse Sampling of Signal Innovations [Theory, algorithms, and performance bounds]," Signal Processing Magazine, IEEE, vol. 25, no. 2, pp. 31-40, March 2008.
20. R. Tur, Y. C. Eldar, and Z. Friedman, "Low rate sampling of pulse streams with application to ultrasound imaging," CoRR, vol. abs/1003.2822, 2010.
21. Å. Björck, Numerical Methods for Least Squares Problems, Society for Industrial Mathematics, 1996.
22. G.H. Golub and C.F. Van Loan, Matrix Computations, Johns Hopkins University Press, 1996.