Publications

Books and Monographs




  • Daniel P. Palomar and Yonina C. Eldar, Eds., Convex Optimization in Signal Processing and Communications, Cambridge University Press, 2009. 📕




Book Chapters


  • José Vinícius de M. Cardoso, Jiaxi Ying, and Daniel P. Palomar, “Nonconvex Graph Learning: Sparsity, Heavy-tails, and Clustering,” in Signal Processing and Machine Learning Theory, Digital Signal Processing Series, Elsevier, 2022.

  • Linlong Wu and Daniel P. Palomar, “Radar Waveform Design via the Majorization-Minimization Framework,” in Radar Waveform Design Based on Optimization Theory, 2020.

  • Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, and Jong-Shi Pang, “Monotone Games for Cognitive Radio Systems,” in Distributed Decision-Making and Control, Ch. 4, Eds. Anders Rantzer and Rolf Johansson, Lecture Notes in Control and Information Sciences Series, Springer Verlag, 2011. 📕

  • Jiaheng Wang and Daniel P. Palomar, “Majorization Theory with Applications in Signal Processing and Communication Systems,” in Mathematical Foundations for Signal Processing, Communications and Networking, Ch. 16, Eds. Thomas Chen, Dinesh Rajan, and Erchin Serpedin, CRC Press, 2011. 📕

  • Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” in Convex Optimization in Signal Processing and Communications, Cambridge Univ. Press, 2009. 📕

  • Mung Chiang, Chee Wei Tan, Daniel P. Palomar, Daniel O’Neill, and David Julian, “Power Control by Geometric Programming,” in Resource Allocation in Next Generation Wireless Networks, vol. 5, Chapter 13, pp. 289-313, W. Li, Y. Pan, Editors, Nova Sciences Publishers, ISBN 1-59554-583-9, 2005. 📕

  • Daniel P. Palomar, A. Pascual-Iserte, John M. Cioffi, and Miguel A. Lagunas, “Convex Optimization Theory Applied to Joint Transmitter-Receiver Design in MIMO Channels,” in Space-Time Processing for MIMO Communications, Chapter 8, pp. 269-318, A. B. Gershman and N. Sidiropoulos, Editors, John Wiley & Sons, ISBN 0-470-01002-9, April 2005. 📕

  • Daniel P. Palomar, “Unified Design of Linear Transceivers for MIMO Channels,” in Smart Antennas – State-of-the-Art, vol. 3, Chapter 18, EURASIP Hindawi Book Series on SP&C, T. Kaiser, A. Bourdoux, H. Boche, J. R. Fonollosa, J. B. Andersen, and W. Utschick, Editors, ISBN 977-5945-09-7, 2005. 📕

Journal Papers 1


2022
  • Rui Zhou, Jiaxi Ying, and Daniel P. Palomar, “Covariance Matrix Estimation Under Low-Rank Factor Model with Nonnegative Correlations,” accepted in IEEE Trans. on Signal Processing, July 2022.

  • Xiwen Wang, Jiaxi Ying, José Vinícius de M. Cardoso, and Daniel P. Palomar, “Efficient Algorithms for General Isotone Optimization,” in The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [15% acceptance rate]

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Pre-2003

PhD Dissertation



  1. The list includes papers published at the conferences NeurIPS, AAAI, and AISTATS with low acceptance rate around 15%-30%. ↩︎