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Detection and estimation

Magazine Papers

  • S. Barbarossa and G. Scutari, “Bio-Inspired Sensor Network Design,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 26–35, May 2007 [DOI].

Journal Papers

  • Y. Ji, G. Scutari, Y. Sun, and H. Honnappa, “Distributed Sparse Regression via Penalization,” J. of Machine Learning Research, vol. 24, no. 272, pp. 1–62, 2023.
  • Y. Ji, G. Scutari, Y. Sun, and H. Honnappa, “Distributed (ATC) Gradient Descent for High-Dimension Sparse Regression,” IEEE Trans. on Information Theory, vol. 69, no. 8, pp. 5253–5276, 2023 [DOI].
  • G. Scutari and J.-S. Pang, “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms,” IEEE Trans. on Information Theory, vol. 59, no. 7, pp. 4626–4661, July 2013 [DOI].
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels,” IEEE Trans. on Signal Processing, vol. 56, no. 4, pp. 1667–1684, April 2008 [DOI].
  • S. Barbarossa and G. Scutari, “Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems,” IEEE Trans. on Signal Processing, vol. 55, no. 7, pp. 3456–3470, July 2007 [DOI].

Refereed Conference Papers

  • J.-S. Pang and G. Scutari, “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi Nash Equilibria,” IEEE Trans. on Signal Processing, vol. 61, no. 9, pp. 2366–2382, May 2013 [DOI].
  • S. Barbarossa, S. Sardellitti, and G. Scutari, “Joint Optimization of Detection Thresholds and Power Allocation for Opportunistic Access in Multicarrier Cognitive Radio Networks,” Proc. of the Third IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP09), pp. 404–407, Dec. 13–16, 2009, Radisson Aruba Resort, Casino & Spa Aruba, Dutch Antilles.
  • S. Barbarossa, G. Scutari, and T. Battisti, “Cooperative Sensing for Cognitive Radio Using Decentralized Projection Algorithms,” Proc. of the 10th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC09), pp. 116–120, June 21–24, 2009, Perugia, Italy.
  • L. Pescosolido, S. Barbarossa, and G. Scutari, “Average Consensus Algorithms Robust Against Channel Noise,” Proc. of the 9th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC08), pp. 261–265, July 7–9, 2008, Recife, Brazil.
  • L. Pescosolido, S. Barbarossa, and G. Scutari, “Radar Sensor Networks with Distributed Detection Capabilities,” Proc. of the 2008 IEEE Radar Conference, 5 pages, May 26–30, 2008, Sheraton Golf Parco dei Medici, Rome, Italy.
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels,” Proc. of the 8th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC07), June 17–20, 2007, Helsinki, Finland.
  • S. Barbarossa, G. Scutari, and A. Swami, “Distributed Detection and Estimation in Decentralized Sensor Networks: An Overview,” Proc. of the 14th European Signal Processing Conference, Sept. 4–8, 2006, Florence, Italy.
  • G. Scutari, S. Barbarossa, and L. Pescosolido, “Optimal Decentralized Estimation Through Self-Synchronizing Networks in the Presence of Propagation Delays,” Proc. of the 7th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC06), July 2–5, 2006, Cannes, France.
  • L. Pescosolido, S. Barbarossa, and G. Scutari, “Decentralized Detection and Localization Through Sensor Networks Designed as a Population of Self-Synchronizing Oscillators,” Proc. of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP06), vol. 4, pp. 981–984, May 14–19, 2006, Toulouse, France.