Publications | Books

Books

• 
  11

  J. C. Ye, Y. C. Eldar and M. Unser, "Deep Learning for Biomedical Image Reconstruction", Cambridge University Press, 2023.

• 
  10

  N. Shlezinger and Y. C. Eldar, "Model-Based Deep Learning", Now, Vol. 17 No. 4, pp. 291-416, 2023.

• 
  9

  F. Liu, C. Masouros
  and Y. C. Eldar
  "Integrated Sensing
  and Communications", Springer Nature Press, July 2023.

• 
  8

  N. Lidströmer and Y. C. Eldar, "Artificial Intelligence in Covid-19", Springer Nature Press, August 2022.

• 
  7

  Y. C. Eldar, A. Goldsmith, D. Gündüz, H. V. Poor, "Machine Learning and Wireless Communications", Cambridge University Press, April 2022.

• 
  6

  M.R.D. Rodrigues and
  Y. C. Eldar, "Information-Theoretic Methods in Data Science", Cambridge University Press, May 2020.

• 
  5

  A. D. Maio, Y. C. Eldar and  A. M. Haimovich,
  "Compressed Sensing in Radar Signal Processing", Cambridge University Press, September 2019.

• 
  4

  Y. C. Eldar, "Sampling Theory: Beyond Bandlimited Systems", Cambridge University Press, April 2015. Matlab files

• 
  3

  Y. C. Eldar and G. Kutyniok, "Compressed Sensing: Theory and Applications", Cambridge University Press, May 2012.

• 
  2

  D. P. Palomar
  and 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

• 27

  S. Mulleti, A. Bhandari and Y. C Eldar, "Power-Aware Analog to Digital Converters", Sampling, Approximation, and Signal Analysis: Harmonic Analysis in the Spirit of J. Rowland Higgins, Springer International Publishing, January 2024, pp. 415-452

• 26

  D. Ma, T. Huang, N. Shlezinger, Y. Liu and Y. C. Eldar, "Index Modulation Based ISAC", Integrated Sensing and Communications, Springer Nature Press, July 2023, pp. 241-268.

• 25

  X. Liu, T. Huang, F. Liu, Z. Zheng, Y. Liu and Y. C. Eldar, "Joint Precoding Design for Multi-antenna Multi-user ISAC Systems", Integrated Sensing and Communications, Springer Nature Press, July 2023, pp. 211-240.

• 24

  Y. Cui, F. Liu, C. Masouros, J. Xu, T. X. Han and Y. C. Eldar, "Integrated Sensing and Communications: Background and Applications", Integrated Sensing and Communications, Springer Nature Press, July 2023, pp. 3-21.

• 23

  D. Malak, R. Yazicigil, M. Médard, X. Zhang and Y. C. Eldar, "Hardware-Limited Task-Based Quantization in Systems", Women in Telecommunications, Springer, 2023.

• 22

  N. Lidströmer and Y. C. Eldar, "Introduction to Artificial Intelligence in COVID-19", AI for COVID-19, Springer Nature Press, 2022, pp. 1-26.

• 21

  A. Rajwade, N. Shlezinger and Y. C. Eldar, "AI for Pooled Testing of COVID-19 Samples", AI for COVID-19, Springer Nature Press, 2022, pp. 27-58.

• 20

  M. Roberts, O. Frank, S. Bagon, Y. C. Eldar and C. B. Schönlieb, "AI and Point Of Care Image Analysis For COVID-19", AI for COVID-19, Springer Nature Press, 2022, pp. 85-120.

• 19

  R. J. G. van Sloun, J. C. Ye and Y. C. Eldar, "Deep Learning for Ultrasound Beamforming", Deep Learning for Biomedical Image Reconstruction, Edited by J. C. Ye, Y. C. Eldar and M. Unser, August 2020.

• 18

  Y. Li, O. Bar-Shira, V. Monga, Y. C. Eldar, "Deep Algorithm Unrolling for Biomedical Imaging", Deep Learning for Biomedical Image Reconstruction, Edited by J. C. Ye, Y. C. Eldar and M. Unserr, August 2020.

• 17

  Y. C. Eldar, Y. Li and J. C. Ye,"Mathematical Foundations of AIM", Artificial Intelligence in Medicine, 2021.

• 16

  D. Gündüz, Y. C. Eldar, A. Goldsmith and H. V. Poor, "Machine Learning and Communications: An Introduction", Machine Learning and Wireless Communication, Cambridge University Press, August 2022, pp. 1-23.

• 15

  N. Shlezinger, M. Chen, Y. C. Eldar, H. V. Poor and S. Cui, "Quantized Federated Learning", Machine Learning and Wireless Communication, Cambridge University Press, August 2022, pp. 409-433.

• 14

  N. Shlezinger, N. Farsad, Y. C. Eldar and A. J. Goldsmith, "Model-Based Machine Learning for Communications", Machine Learning and Wireless Communication, Cambridge University Press, August 2022, pp. 145-181.

• 13

  M. R. D. Rodrigues, S. C. Draper, W. U. Bajwa and Y. C. Eldar, "Introduction to Information Theory and Data Science", in Information-Theoretic Methods in Data Science, 2019.

• 12

  A. Kipnis, Y. C. Eldar and A. Goldsmith, "An Information Theoretic Approach to Analog-to-Digital Compression", in Information-Theoretic Methods in Data Science, 2019.

• 11

  K. V. Mishra and Y. C. Eldar, "Sub-Nyquist Radar: Principles and Prototypes", Compressed Sensing in Radar Signal Processing, Cambridge University Press, 2018.

• 10

  T. Bendory, R. Beinert and Y. C. Eldar, "Fourier Phase Retrieval: Uniqueness and Algorithms", Compressed Sensing and its Applications, pp. 55-91. Birkhäuser, Cham, 2017.

• 9

  D. Cohen, S. Tsiper and Y. C. Eldar, "Analog to Digital Cognitive Radio", Handbook of Cognitive Radio, Edited by W. Zhang, The University of New South Wales, 2017, ch. 7.

• 8

  K. Jaganathan, Y. C. Eldar and B. Hassibi, "Phase Retrieval: An Overview of Recent Developments", Optical Compressive Imaging, Edited by A. Stern, CRC Press, 2016, pp. 263-287.

• 7

  Y. C. Eldar, "Compressed Sensing", The Princeton Companion to Applied Mathematics Edited by Nicholas J. Higham, Mark Dennis, Paul Glendinning, Paul Martin, Fadil Santosa and Jared Tanner, Princeton University Press, 2015, pp. 823-827.

• 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, pp. 88-147.

• 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, pp. 148-209.

• 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, pp. 1-64.

• 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.