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Books
3.
 Y. C. Eldar and G. Kutyniok, "Compressed Sensing: Theory and Applications", Cambridge University Press, to appear in 2012.
2.
 D. P. Palomar, Y. C. Eldar, "Convex Optimization in Signal Processing and Communications", Cambridge University Press, 2010.
1.
 Y. C. Eldar, "Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramèr-Rao Bound", Foundations and Trends in Signal Processing, Vol. 1, No. 4, pp. 305–449, 2008.
Book Chapters
6.
M. Mishali and Y. C. Eldar, "Xampling: Compressed Sensing for
Analog Signals", Compressed Sensing: Theory and Applications, Edited by Y. C. Eldar and G. Kutyniok, Cambridge University Press, 2012.
5.
J. Uriguen, Y. C. Eldar, P. L. Dragotti and Z. Ben-Haim, "Sampling at the Rate of Innovation: Theory and Applications", Compressed Sensing: Theory and Applications, Edited by Y. C. Eldar and G. Kutyniok, Cambridge University Press, 2012.
4.
M. A. Davenport, M. F. Duarte, Y. C. Eldar and G. Kutyniok, "Introduction to Compressed Sensing", Compressed Sensing: Theory and Applications, Edited by Y. C. Eldar and G. Kutyniok, Cambridge University Press, 2012.
3.
T. Michaeli and Y. C. Eldar, "Optimization Techniques in Modern Sampling Theory", Convex Optimization in Signal Processing and Communications, Edited by Y. C. Eldar and D. P. Palomar, Cambridge University Press, 2010, pp. 266-314.
2.
Y. C. Eldar and A. Nehorai,
"Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach", Robust Adaptive Beamforming,
Edited by J. Li and P. Stoica, Hoboken, NJ: John Wiley & Sons, INC., 2006, pp. 259-298.
1.
Y. C. Eldar, "Sampling Without Input Constraints: Consistent Reconstruction In Arbitrary Spaces", Sampling, Wavelets and Tomography, Edited by A. Zayed and J. J.
Benedetto, Boston, MA: Birkhäuser, 2003, pp. 33-60.
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