Publications

Journals

1. C. Battiloro, L. Testa, L. Giusti, S. Sardellitti, P. Di Lorenzo, and S. Barbarossa, Generalized Simplicial Attention Neural Networks, to appear in the IEEE Transactions on Signal and Information Processing over Networks, 2024.

2. G. D'Acunto, P. Di Lorenzo, F. Bonchi, S. Sardellitti, S. Barbarossa, Learning Multi-Frequency Partial Correlation Graphs, to appear in IEEE Transactions on Signal Processing, 2024.

3. S. Sardellitti, P. Di Lorenzo, S. Barbarossa, RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations, IEEE Communications Letters, May 2024, pp. 1043-1047.

4. F. Binucci, P.  Banelli, P. Di Lorenzo, S. Barbarossa, Opportunistic Information-Bottleneck for Goal-oriented Feature Extraction and Communication, IEEE Open Journal of the Communications Society, vol. 5, pp. 2418 - 2432, April  2024. 

5. M. Polverini, S. Sardellitti, S. Barbarossa, A. Cianfrani, P. Di Lorenzo, M. Listanti, Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results. Computer Networks, Feb. 2024. 

6. S. Sardellitti, S. Barbarossa, "Topological Signal Processing  over Generalized Cell Complexes'', IEEE Transactions on Signal Processing, Jan. 2024.

7. P. Di Lorenzo, M. Merluzzi, F. Binucci, C. Battiloro, P. Banelli, E. Calvanese Strinati, S. Barbarossa, Goal-oriented Communications for the IoT: System Design and Adaptive Resource Optimization,  IEEE Internet of Things Magazine, vol. 6, no. 4, December 2023.

8. G. D'Acunto, P. Di Lorenzo, and S. Barbarossa, Multiscale Causal Structure Learning, Transactions on Machine Learning Research, October 2023.

9. S. Barbarossa, D. Comminiello, E. Grassucci, F. Pezone, S. Sardellitti, P. Di Lorenzo, Semantic Communications Based on Adaptive Generative Models and Information Bottleneck, IEEE Communications Magazine, Vol. 61, no.11, pp. 36-41. Nov. 2023.

10. F. Binucci, P. Banelli, P. Di Lorenzo, and S. Barbarossa, Multi-user Goal-oriented Communications with Energy-efficient Edge Resource Management, IEEE Transactions on Green Communications and Networking, vol.7, no.4, pp. 1709-1724, December 2023.

11. C. Battiloro, P. Di Lorenzo, M. Merluzzi, and S. Barbarossa, Lyapunov-based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning, IEEE Transactions on Green Communications and Networking, vol.7, no. 3, pp. 265-280, March 2022.

12. F. Binucci, P. Banelli, P. Di Lorenzo, and S. Barbarossa, Adaptive Resource Optimization for Edge Inference with Goal-Oriented Communications, EURASIP Journal on Advances in Signal Processing, n.123, December 2022.

13. P. Di Lorenzo, M. Merluzzi, E. Calvanese Strinati, and S. Barbarossa, Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces,  EURASIP Journal on Adavances in Wireless Communications, n.122, December 2022.

14. M. Merluzzi, N. Di Pietro, P. Di Lorenzo, E. Calvanese Strinati, and S. Barbarossa, Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing, IEEE Transactions on Green Communications and Networking,  vol. 6, no. 2, June 2022.

15. M. Merluzzi, P. Di Lorenzo, S. Barbarossa, "Wireless Edge Machine Learning: Resource Allocation and Trade-offs", IEEE Access, 2021

16. E.C. Strinati, S. Barbarossa et al., "6G networks: Beyond Shannon towards semantic and goal-oriented communications'', Computer Networks, May 2021 

17. E.C. Strinati, S. Barbarossa et al., "6G in the Sky: On-demand Intelligence at the edge of 3D networks", ETRI Journal, 2020

18. C. Battiloro, P. Di Lorenzo, P. Banelli, S. Barbarossa, "Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks'', IEEE Internet of Things Journal, Dec. 2020

19. S. Barbarossa, S. Sardellitti, "Topological Signal Processing: Making Sense of Data Building on Multiway Relations'', IEEE Signal Processing Magazine, Nov. 2020, pp. 174-183 [pdf]

20. S. Barbarossa, S. Sardellitti, "Topological Signal Processing over  Simplicial Complexes'', IEEE Transactions on Signal Processing, March 2020, pp. 2992-3007

21. E. Ceci, Y. Shen, G. B. Giannakis, S. Barbarossa, "Graph-Based Learning under Perturbations via Total Least-Squares", IEEE Transactions on Signals Processing, March 2020, pp. 2870-2882

22. P. Di Lorenzo, S. Barbarossa, S. Sardellitti, "Distributed Signal Processing and Optimization based on In-Network Subspace Projections'', IEEE Transaction on Signal and Information Processing over Networks, March 2020, pp. 2061-2076

23. M. Merluzzi, P. Di Lorenzo, S. Barbarossa, V. Frascolla, "Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications", IEEE Transactions on Signal and Information Processing over Networks, March 2020, pp. 342-356

24. E. Ceci, S. Barbarossa, "Graph Signal Processing in the Presence of Topology Uncertainties", IEEE Transactions on Signal Processing, Feb. 2020, 1558-1573

25. E. Calvanese-Strinati, S. Barbarossa et al. “6G: The Next Frontier”, IEEE Vehicular Technologies Magazine, Vol. 14, Issue 3, Sept. 2019, pp. 42-50

26. T. Chen, S. Barbarossa, X. Wang, G.B. Giannakis, Z.-L. Zhang, “Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability”, Proceedings of the IEEE, Vol. 107, Issue 4, April 2019, pp. 778-796

27. S. Sardellitti, S. Barbarossa, P. Di Lorenzo, “Graph Topology Inference based on  Sparsifying Transform Learning”, IEEE Trans. on Signal Processing, 2019 

28. P. Di Lorenzo, P. Banelli, E. Isufi, S. Barbarossa, G. Leus, “Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies", IEEE Transactions on Signal Processing, July 2018, pp. 3584 - 3598

29. S. Sardellitti, S. Barbarossa, P. Di Lorenzo, “On the Graph Fourier Transform for Directed Graphs”, IEEE Journal of Selected Topics in Signal Processing, Sep., 2017, pp. 796-811

30. K. Sakaguchi, T. Haustein, S. Barbarossa, E. Calvanese-Strinati, A. Clemente, G. Destino, A. Pärssinen, I. Kim, H. Chung, J. Kim, W. Keusgen, R. J Weiler, K. Takinami, E. Ceci, A. Sadri, L. Xain, A. Maltsev, G. K. Tran, H. Ogawa, K. Mahler, R. W. Heath Jr, “Where, When and How mmWave is Used in 5G and Beyond”, IEICE Transactions on Electronics, Vol. E100.C (2017), Oct. 2017, pp. 790-808

31. P. Di Lorenzo, P. Banelli, S. Barbarossa, S. Sardellitti, “Distributed Adaptive Learning of Graph Signals”, IEEE Trans. on Signal Processing, Aug. 15, 2017, pp. 4193-4208

32. P. Di Lorenzo, S. Barbarossa, P. Banelli, S. Sardellitti, “Adaptive Least Mean Squares Estimation of Graph Signals”, IEEE Trans. on Signal and Inform. Processing over Networks, Dec. 2016, pp. 555-568

33. M. Tsitsvero, S. Barbarossa, P. Di Lorenzo, “Signals on Graphs: Uncertainty Principle and Sampling” to be published in the IEEE Trans. on Signal Processing, Sep. 2016, pp. 4845-4860

34. S. Sardellitti, G. Scutari, S. Barbarossa, “Joint Optimization of Radio and Computational Resources for Multicell  Mobile-Edge Computing”, IEEE Trans. on Signal and Information Processing over Networks, June 2015, pp 89-103 

35. P. Di Lorenzo, S. Barbarossa, “Distributed Estimation and Control of Algebraic Connectivity over Random Graphs”, IEEE Transactions on Signal Processing, Nov. 2014

36. S. Barbarossa, S. Sardellitti, P. Di Lorenzo, “Communicating while Computing: Distributed Cloud Computing over 5G Heterogeneous Networks”, IEEE Signal Processing Magazine, Special Issue on Signal Processing for the 5G Revolution, November 2014, pp. 45-55

37. S. Barbarossa, P. Di Lorenzo, and P. Vecchiarelli, "Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets," IEEE Transactions on Signal Processing, September 2014

38. Di Lorenzo, P.; Barbarossa, S., Sayed, A.H., “Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation”, IEEE Signal Processing Letters, Dec. 2013, pp. 1261-1265

39. S. Sardellitti, S. Barbarossa, “Joint Optimization of Collaborative Sensing and Radio Resource Allocation in Small-Cell Networks”, IEEE Trans. on Signal Processing, September 2013, pp. 4506-4520

40. Di Lorenzo, P.; Barbarossa, S., Sayed, A.H., “Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms over Adaptive Networks”, IEEE Trans. on Signal Processing, June 2013, pp. 3183-3197

41. P. Di Lorenzo, S. Barbarossa, “Swarming Algorithms for Distributed Radio Resource Allocation”, IEEE Signal Processing Magazine, March 2013, pp. 144-154

42. A. H. Sayed, S. Barbarossa, S. Theodoridis, I. Yamada (guest editors), “Adaptation and Learning over Complex Networks”, Special Issue of IEEE Signal Processing Magazine, March 2013, pp. 14-15

43. A. H. Sayed, S. Barbarossa, S. Theodoridis, I. Yamada (guest editors), “Introduction to the Issue of Adaptation and Learning over Complex Networks”, Special Issue of IEEE Selected Topics in Signal Processing, March 2013, pp. 161-162

44.   Di Lorenzo, P.; Barbarossa, S.; Omilipo, M., “Distributed Sum-Rate Maximization over Finite Rate Coordination Links Affected by Random Failures”, IEEE Trans. on Signal Processing, March 2013, pp. 648-660

45. Di Lorenzo, P.; Barbarossa, S., Borgarelli, L., “Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR”, IEEE Trans. on Aerospace and Electronic Systems, Jan. 2013, pp. 277-293

46. S. Sardellitti, A. Carfagna, S. Barbarossa, “Optimal Resource Allocation in Femtocell Networks Based on Markov Modeling of Interferers’ Activity”, EURASIP Journal on Wireless Communications and Networking, Dec. 2012

47. Di Lorenzo, P.; Barbarossa, S., Sayed, A.H., “Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms over Random Graphs”, IEEE Trans. on Signal Processing, July 2012, pp. 3755-3769

48. Sardellitti, S.; Barbarossa, S.; Swami, A., “Optimal Topology Control and Power Allocation for Minimum Energy Consumption in Consensus Networks”, IEEE Trans. on Signal Processing, Jan. 2012, pp. 383-399

49. Di Lorenzo, P.; Barbarossa, S., “A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio”, IEEE Trans. on Signal Processing, Volume: 59 , Dec. 2011, pp. 6160 - 6174 

50. S. Sardellitti, M. Giona, S. Barbarossa, “Fast Distributed Average Consensus Algorithms Based on Advection-Diffusion Processes”, IEEE Trans. on Signal Processing, Vol. 58, Feb. 2010, pp. 826-842

51. G. Scutari, D.P. Palomar, S. Barbarossa, “The MIMO Iterative Waterfilling Algorithm”, IEEE Trans. on Signal Processing, Vol. 57, May 2009, pp. 1917-1935

52. G. Scutari, D.P. Palomar, S. Barbarossa, “Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections”, IEEE Signal Proc. Magazine, Vol. 25, Nov. 2008, pp. 46-59

53. G. Scutari, D.P. Palomar, S. Barbarossa, “Competitive Design of Multiuser MIMO Interference Systems based on Game Theory: A Unified Framework”, IEEE Journal of Selected Areas in Communications, Vol. 26, Sept. 2008, pp. 1089-1103

54. G. Scutari, S. Barbarossa, “Optimal Distributed Decision over Wireless Sensor Networks Affected by Multipath Fading”, IEEE Trans. on Signal Processing, Vol. 56, August 2008, pp. 4100-4106 

55. G. Scutari, D.P. Palomar, S. Barbarossa, “Asynchronous Iterative Water-filling for Gaussian Frequency-Selective Interference Channels”, IEEE Trans. on Information Theory, Vol. 54, July 2008, pp. 2868-2878

56. A. Fasano, S. Barbarossa, “Trace-Orthogonal Space-Time Coding”, IEEE Trans. on Signal Processing, Volume 56, Issue 5, May 2008, pp. 2017-2034 

57. G. Scutari, S. Barbarossa, L. Pescosolido, “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels”, IEEE Trans. on Signal Processing, Volume 56, Issue 4, April 2008, pp. 1667-1684

58. G. Scutari, D.P. Palomar, S. Barbarossa, “Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory Part I: Nash Equilibria”, IEEE Trans. on Signal Processing, Volume 56, Issue 3, March 2008, pp. 1230-1249 

59. G. Scutari, D.P. Palomar, S. Barbarossa, “Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part II: Algorithms”, IEEE Trans. on Signal Processing, Volume 56, Issue 3, March 2008, pp. 1250-1267 

60. S. Barbarossa, G. Scutari, “Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems”, IEEE Transactions on Signal Processing, Volume 55,  Issue 7,  Part 1,  July 2007, pp. 3456 - 3470

61. S. Barbarossa, G. Scutari, “Bio-inspired sensor network design: Distributed decision through self-synchronization”,IEEE Signal Processing Magazine, Volume 24, Issue 3,  May 2007, pp. 26—35

62. Scutari, G.; Barbarossa, S., “Distributed space-time coding for regenerative relay networks”, IEEE Transactions on Wireless Communications, Volume 4,  Issue 5,  Sept. 2005, pp. 2387 - 2399

63. Palomar, D.P., Barbarossa, S., “Designing MIMO Communication Systems: Constellation Choice and Linear Transceiver Design”, IEEE Transactions on Signal Processing, Volume 53,  Issue 10,  Part 1,  Oct. 2005, pp. 3804 – 3818

64. Scaglione, A.; Stoica, P.; Barbarossa, S.; Giannakis, G.B.; Sampath, H., “Optimal designs for space-time linear precoders and decoders”, IEEE Transactions on Signal Processing, Volume: 50 , Issue: 5 , May 2002, pp. 1051 - 1064

65. Barbarossa, S.; Pompili, M.; Giannakis, G.B., “Channel-independent synchronization of orthogonal frequency division multiple access systems”, IEEE Journal on Selected Areas in Communications, Volume: 20 , Issue: 2 , Feb. 2002, pp. 474 - 486

66. Barbarossa, S.; Scaglione, A.; Giannakis, G.B., “Performance analysis of a deterministic channel estimator for block transmission systems with null guard interval”, IEEE Transactions on Signal Processing, Volume: 50 , Issue: 3 , March 2002, pp. 684 - 695

67. Barbarossa, S.; Cerquetti, F., “Simple space-time coded SS-CDMA systems capable of perfect MUI/ISI elimination”, IEEE Communications Letters, Volume: 5 , Issue: 12 , Dec. 2001, pp. 471 - 473

68. Xiaoli Ma; Tepedelenlioglu, C.; Giannakis, G.B.; Barbarossa, S., “Non-data-aided carrier offset estimators for OFDM with null subcarriers: identifiability, algorithms, and performance”, IEEE Journal on Selected Areas in Communications, , Volume: 19 , Issue: 12 , Dec. 2001, pp. 2504 - 2515

69. Liu, Z.; Giannakis, G.B.; Barbarossa, S.; Scaglione, A., “Transmit antennae space-time block coding for generalized OFDM in the presence of unknown multipath”, IEEE Journal on Selected Areas in Communications, Volume: 19 , Issue: 7 , July 2001, pp. 1352 - 1364

70. Scaglione, A.; Giannakis, G.B.; Barbarossa, S., “Lagrange/Vandermonde MUI eliminating user codes for quasi-synchronous CDMA in unknown multipath”, IEEE Transactions on Signal Processing, Volume: 48 , Issue: 7 , July 2000, pp. 2057 - 2073

71. Giannakis, G.B.; Wang, Z.; Scaglione, A.; Barbarossa, S. “AMOUR-generalized multicarrier transceivers for blind CDMA regardless of multipath”, IEEE Transactions on Communications, Volume: 48 , Issue: 12 , Dec. 2000, pp. 2064 - 2076

72. Barbarossa, S.; Scaglione, A., “Adaptive time-varying cancellation of wideband interferences in spread-spectrum communications based on time frequency distributions”, IEEE Transactions on Signal Processing, Volume: 47 , Issue: 4 , April 1999, pp. 957 - 965

73. Scaglione, A.; Barbarossa, S., “Statistical analysis of the product high-order ambiguity function”, IEEE Transactions on Information Theory, Volume: 45 , Issue: 1 , Jan. 1999, pp. 343 - 356

74. Scaglione, A.; Giannakis, G.B.; Barbarossa, S., “Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization”, IEEE Transactions on Signal Processing, Volume: 47 , Issue: 7 , July 1999, pp. 2007 - 2022

75. Scaglione, A.; Barbarossa, S.; Giannakis, G.B., “Filterbank transceivers optimizing information rate in block transmissions over dispersive channel”, IEEE Transactions on Information Theory, Volume: 45 , Issue: 3 , April 1999, pp. 1019 - 1032

76. Scaglione, A.; Giannakis, G.B.; Barbarossa, S., “Redundant filterbank precoders and equalizers. I. Unification and optimal designs”, IEEE Transactions on Signal Processing, Volume: 47 , Issue: 7 , July 1999, pp.1988 - 2006

77. Scaglione, A.; Barbarossa, S., “On the spectral properties of polynomial-phase signals”, IEEE Signal Processing Letters, Volume: 5 , Issue: 9 , Sept. 1998, pp. 237 - 240

78. Barbarossa, S.; Scaglione, A., “Autofocusing of SAR images based on the product high-order ambiguity function”, IEE Proceedings on Radar, Sonar and Navigation,  Volume: 145 , Issue: 5 , Oct. 1998, pp. 269 - 273

79. Barbarossa, S.; Scaglione, A.; Giannakis, G.B., “Product high-order ambiguity function for multicomponent polynomial-phase signal modeling”, IEEE Transactions on Signal Processing, Volume: 46 , Issue: 3 , March 1998, pp. 691 - 708

80. Barbarossa, S.; Petrone, V., “Analysis of polynomial-phase signals by the integrated generalized ambiguity function”, IEEE Transactions on Signal Processing, Volume: 45 , Issue: 2 , Feb. 1997, pp. 316 - 327

81. Barbarossa, S.; Lemoine, O.,“Analysis of nonlinear FM signals by pattern recognition of their time-frequency representation”, IEEE Signal Processing Letters, Volume: 3 , Issue: 4 , April 1996, pp.112 - 115

82. S.Barbarossa, L.Marsili, G.Mungari, “SAR Super-Resolution Imaging by Signal Subspace Projection Techniques”, International Journal of Electronics and Communications, Archiv fur Elektronik und Ubertragungstechnik (AEU), No.2, Vol.50, pp.133-138, March 1996

83. Barbarossa, S., “Analysis of multicomponent LFM signals by a combined Wigner-Hough transform”, IEEE Transactions on Signal Processing, Volume: 43 , Issue: 6 , June 1995, pp. 1511 - 1515

84. Barbarossa, S.; Farina, A., “Space-time-frequency processing of synthetic aperture radar signals”, IEEE Transactions on Aerospace and Electronic Systems,, Volume: 30 , Issue: 2 , April 1994, pp. 341 - 358

85. Barbarossa, S.; Farina, A., “Detection and imaging of moving objects with synthetic aperture radar. 2. Joint time-frequency analysis by Wigner-Ville distribution”, IEE Proceedings F Radar and Signal Processing, , Volume: 139, Issue: 1 , Feb. 1992, pp. 89 - 97

86. Barbarossa, S., “Detection and imaging of moving objects with synthetic aperture radar. 1. Optimal detection and parameter estimation theory”, IEE Proceedings F - Radar and Signal Processing, Volume: 139 , Issue: 1 , Feb. 1992, pp. 79 - 88

87. S. Barbarossa, C. Gregori, G. Nicastro, “On the Use of Joint Time-Frequency Representations in SAR Signal Processing”, European Transactions on Telecommunications, Vol.2-N.6, pp.665-674, Nov.-Dec.1991.

88. Barbarossa, S.; Levrini, G., “An antenna pattern synthesis technique for spaceborne SAR performance optimization”, IEEE Transactions on Geoscience and Remote Sensing, Volume: 29 , Issue: 2 , March 1991, pp. 254 - 259

89. Barbarossa, S., “New autofocusing technique for SAR images based on the Wigner-Ville distribution”, Electronics Letters , Volume: 26 , Issue: 18 , 30 Aug. 1990, pp. 1533 - 1534

90. A.Farina, A.Russo, F.Scannapieco, S.Barbarossa, “Theory of radar detection in coherent Weibull clutter”, IEE Proceedings, Vol.134, Pt.F, No.2, pp.174-190, April 1987.

91. S.Barbarossa, E.D'Addio, G.Galati, “Comparison of optimum and linear prediction techniques for clutter cancellation”, IEE Proceedings,Vol.134, Pt.F, No.3, June 1987.

92. S. Barbarossa, G. Levrini, G.Picardi, “The sensitivity problem in the Synthetic Aperture Radar (SAR)”, Alta Frequenza, Vol.LV-No.6, pp.337-348, Nov-Dec. 1986.

93. S.Barbarossa, G.Picardi, “Predictive Adaptive Moving Target Indicator”, Signal Processing, Vol.10, No.1, pp.83-97, Jan. 1986.

94. S.Barbarossa, G.Picardi, “Complex autocorrelation estimators in radar signal processing”, Electronics Letters, Vol. 21, No.17, pp752-754, Aug. 1985.

Conference papers

1. L. Testa, C. Battiloro, S. Sardellitti, S. Barbarossa, “Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis”, ICASSP 2024

2. F. Pezone, O. Musa, G. Caire, S. Barbarossa, “Semantic-preserving image coding based on conditional diffusion models”, ICASSP 2024

3. S Sardellitti, S Barbarossa, “Probabilistic Topological Models over Simplicial Complexes”, 2023 57th Asilomar Conference on Signals, Systems, and Computers,pp.  822-826.

4. F. Binucci, P. Banelli, P. Di Lorenzo, S. Barbarossa, Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications, proc. of EUSIPCO 2023, Helsinki, Finland. 

5. S. Sardellitti, M. Polverini, S. Barbarossa, A. Cianfrani, P. Di Lorenzo, M. Listanti, In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering, Proc. of  ENS 2023, co-hosted at IEEE NetSoft 2023, Madrid, Spain. 

6. L.Giusti, C. Battiloro, L.Testa, P. Di Lorenzo, S. Sardellitti, S. Barbarossa, Cell Attention Networks, Proc. of IJCNN 2023, preprint arxiv:2209.08179.

7. C. Battiloro, P. Di Lorenzo, and S. Barbarossa, Topological Slepians: Maximally Localized Representations of Signals over Simplicial Complexes, Proc. of ICASSP 2023, Rhodes, Greece. 

8. C. Battiloro, S. Sardellitti, S. Barbarossa, P. Di Lorenzo, Topological Signal Processing over Weighted Simplicial Complexes, Proc. of ICASSP 2023, Rhodes, Greece.

9. S. Sardellitti, S. Barbarossa, “Robust signal processing over simplicial complexes”, ICASSP 2022

10. F. Binucci, P. Banelli, P. Di Lorenzo, S. Barbarossa, Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge, proc. of Eurasip EUSIPCO, 2022. 

11. L. Giusti, C. Battiloro, P. Di Lorenzo, and S. Barbarossa, Graph Convolutional Networks with Autoencoder-based Compression and Multi-Layer Graph Learning, proc. of IEEE ICASSP, Singapore, June 2022.

12. F. Pezone, S. Barbarossa, and P. Di Lorenzo, Goal Oriented Communication for Edge Learning based on the Information Bottleneck,  proc. of IEEE ICASSP, Singapore, June 2022.

13. C. Battiloro, M. Merluzzi, P. Di Lorenzo, and S. Barbarossa, Dynamic Resource Optimization for Adaptive Federated Learning empowered by Reconfigurable Intelligent Surfaces, proc. of IEEE ICASSP, Singapore, June 2022.

14. S Sardellitti, S Barbarossa, L Testa, “Topological signal processing over cell complexes”, 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1558-1562

15. M. Merluzzi, A. Martino, F. Costanzo, P. Di Lorenzo, and S. Barbarossa, Dynamic Ensemble Inference at the Edge, Proc. of IEEE Globecom, Madrid, Spain, Dec. 2021.

16. P. Di Lorenzo, C. Battiloro, M. Merluzzi, S. Barbarossa, Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge, Proc. of  IEEE ICASSP, Toronto, Canada, 2021.

17. S. Sardellitti, S. Barbarossa, P. Di Lorenzo, Online Learning of Time-varying Signals and Graphs,  Proc. of  IEEE ICASSP, Toronto, Canada, 2021.

18. M. Merluzzi, P. Di Lorenzo, and S. Barbarossa, Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency and Accuracy Guarantees, Proc. of ICASSP, Barcelona, May 2020.

19. F. Costanzo, P. Di Lorenzo, and S. Barbarossa, Dynamic Resource Optimization and Altitude Selection in UAV-based Multi-Access Edge Computing, Proc. of ICASSP, Barcelona, May 2020.

20. M. Merluzzi, P. Di Lorenzo, S. Barbarossa, "Latency-constrained dynamic computation offloading with energy harvesting IoT devices", INFOCOM 2019, 29 April-2 May 2019

21. Paolo Di Lorenzo ; Claudio Battiloro ; Paolo Banelli ; Sergio Barbarossa, "Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks", ICASSP 2019, pp. 4454 - 4458

22. Paolo Di Lorenzo ; Sergio Barbarossa ; Stefania Sardellitti, "Distributed Signal Recovery Based on In-network Subspace Projections", ICASSP 2019, pp. 5242 - 5246.

23. Mattia Merluzzi ; Paolo Di Lorenzo ; Sergio Barbarossa, "Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing", ICASSP 2019pp. 4759 - 4763.

24. Elena Ceci ; Yanning Shen ; Georgios B. Giannakis ; Sergio Barbarossa, "Signal and Graph Perturbations via Total Least-Squares", 2018 52nd Asilomar Conference on Signals, Systems, and Computers, pp. 747 - 751.

25. Paolo Di Lorenzo ; Sergio Barbarossa ; Paolo Banelli, "Optimal Power and Bit Allocation for Graph Signal Interpolation", ICASSP 2018, pp. 4649 - 4653.

26. Elena Ceci ; Sergio Barbarossa, "Small Perturbation Analysis of Network Topologies", ICASSP 2018, pp. 4194 - 4198.

27. Elena Ceci ; Sergio Barbarossa, "Robust Graph Signal Processing in the Presence of Uncertainties on Graph Topology", 2018 IEEE 19th Int. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1-5.

28. Sergio Barbarossa ; Stefania Sardellitti ; Elena Ceci, "Learning from signals defined over simplicial complexes",  2018 IEEE Data Science Workshop (DSW), pp. 51 - 55.

29. Gia Khanh Tran ; Hiroaki Nishiuchi ; Valerio Frascolla ; Koji Takinami ; Antonio De Domenico ; Emilio Calvanese Strinati ; Thomas Haustein ; Kei Sakaguchi ; Sergio Barbarossa ; Sergio Barberis ; Katsuo Yunoki, "Architecture of mmWave Edge Cloud in 5G-MiEdge", 2018 IEEE Int. Conf. on Communications Workshops (ICC Workshops), pp. 1-6.

30. Stefania Sardellitti ; Mattia Merluzzi ; Sergio Barbarossa, "Optimal Association of Mobile Users to Multi-Access Edge Computing Resources",  2018 IEEE Int. Conf. on Communications Workshops (ICC Workshops), pp. 1-6.

31. S. Barbarossa, E. Ceci, M. Merluzzi, E. Calvanese-Strinati , “Enabling effective Mobile Edge Computing using millimeterwave links”, 2017 IEEE International Conference on Communications Workshops (ICC 2017), pp.  367 - 372, May 2017

32. S. Barbarossa, E. Ceci, M. Merluzzi, “Overbooking radio and computation resources in mmW-mobile edge computing to reduce vulnerability to channel intermittency”, 2017 European Conference on Networks and Communications (EuCNC 2017), pp. 1-5, June 2017

33. Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo , “Graph Fourier Transform for directed graphs based on Lovász extension of min-cut”, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 3894 - 3898, March 2017

34. P. Di Lorenzo, S. Barbarossa, P. Banelli, S. Sardellitti, “Distributed adaptive learning of signals defined over graphs”, Proc. of Asilomar Conf. on Signals, Systems, and Computers, Nov. 2016

35. P. Di Lorenzo, S. Barbarossa, P. Banelli, S. Sardellitti, “LMS Estimation of signals defined over graphs”, Proc. of EUSIPCO 2016, Budapest, Aug. 2016.

36. J. Oueis, E. Calvanese-Strinati, S. Barbarossa, “Distributed mobile cloud computing: A multi-user clustering solution”, ICC 2016, Kuala Lumpur, May 2016

37. S. Barbarossa, S. Sardellitti, A. Farina, “On sparse controllability of graph signals”, ICASSP 2016, Shanghai, March 2016

38. S. Barbarossa, M. Tsitsvero, “An introduction to hypergraph signal processing”, ICASSP 2016, Shanghai, March 2016

39. S. Barbarossa, M. Tsitsvero, “Uncertainty Principle and Sampling of Signals on Graph”, Asilomar Conf., Nov. 2015

40. Tsitsvero, S. Barbarossa, “On the Degrees of Freedom of Signals on Graph”, EUSIPCO 2015, Nice, Sept. 2015

41. J. Oueis, E.C. Strinati, S. Barbarossa, “The Fog Balancing: Load Distribution for Small Cell Cloud Computing”, IEEE VTC 2015, Glasgow, May 2015

42. S. Barbarossa, P. Di Lorenzo, M. van der Schaar, “Network Formation Games based on Conditional Independence Graphs”, ICASSP 2015, Brisbane, April 2015

43. S. Sardellitti, S. Barbarossa,, “Distributed Mobile Cloud Computing: Joint Optimization of Radio and Computational Resources”, IEEE Globecom 2014, Austin, Dec. 2014

44. Sardellitti, S., Scutari G., Barbarossa, S., “Distributed Optimization of Radio and Computational Resources for Mobile Cloud Computing”, IEEE CLOUDNET 2014, Luxembourg, Oct. 2014

45. J. Oueis, E. Calvanese-Strinati, S. Barbarossa, “Small Cell Clustering for Efficient Distributed Cloud Computing”, PIMRC 2014, Washington DC, September 2014

46. S. Barbarossa, P. Di Lorenzo, S. Sardellitti, "Computation Offloading Strategies Based on Energy Minimization under Computational Rate Constraints," Proc. of European Conf. on Networks and Communications, Bologna, June 2014

47. Sardellitti, S., Scutari G., Barbarossa, S., “Joint Optimization of Radio and Computational Resources for Multicell Mobile Cloud Computing”, IEEE SPAWC 2014, Toronto, June 2014

48. P. Di Lorenzo, S. Barbarossa, "Distributed Least-Mean Squares Strategies for Sparsity-Aware Estimation over Gaussian Markov Random Fields," Proc. of IEEE ICASSP, Florence, Italy, May 2014

49. Sardellitti, S., Barbarossa, S., "Joint Cell Selection and Radio Resource Allocation in MIMO SMall Cell Networks via Successive convex Approximations," Proc. of IEEE ICASSP, Florence, Italy, May 2014

50. Barbarossa, S.; Sardellitti, S., Di Lorenzo, P. “Joint allocation of computation and communication resources in multiuser mobile cloud computing”, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013

51. Barbarossa, S.; Sardellitti, S., Di Lorenzo, P., “Computation offloading for mobile cloud computing based on wide cross-layer optimization”, Future Networks and Mobile Summit, FuNeMS 2013

52. Di Lorenzo, P., Barbarossa, S. “Distributed control of wireless ad-hoc connectivity incorporating realistic channel models”, European Signal Processing Conference, EUSIPCO 2013

53. Sardellitti, S., Barbarossa, S. “Optimal bit and power allocation for rate-constrained decentralized detection and estimation”, European Signal Processing Conference, EUSIPCO 2013

54. Di Lorenzo, P.; Barbarossa, S., “Decentralized estimation and control of algebraic connectivity of random ad-hoc networks”, 2013 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2013

55. Sardellitti, S.; Barbarossa, S., “Distributed RLS Estimation for Cooperative Sensing in Small Cell Networks”, 2013 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2013

56. S. Barbarossa, P. Di Lorenzo, P. Vecchiarelli, A. Silvi, and A. Bruner,  “Parameter estimation of 2D polynomial phase signals: An application to moving target imaging with SAR”, 2013 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2013

57. Carfagna, A., Barbarossa, S., “Distributed Bayesian Pricing for Sum-Rate Maximization in Small Cell Networks”, 2012 IEEE 4th Int. Workshop on Heterogeneous and Small Cell Networks (HetSNets), Dec. 2012, pp. 598-602

58. Barbarossa, S.; Sardellitti, S., “ Joint optimization of sensing and radio resource allocation in collaborative femtocell networks”, 2012 3rd International Workshop on Cognitive Information Processing (CIP)

59. Di Lorenzo, P.; Barbarossa, S.; Sayed, A.H., “Sparse diffusion LMS for distributed adaptive estimation”, 2012 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2012

60. Di Lorenzo, P.; Barbarossa, S.; Sayed, A.H., “A bio-inspired fast swarming algorithm for dynamic radio access”, 2011 International Conference on Digital Signal Processing (DSP)

61. Di Lorenzo, P.; Omilipo, M.; Barbarossa, S., “Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications”, 4th IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2011

62. Sardellitti, S.; Barbarossa, S.; “Energy preserving matching of sensor network topology to dependency graph of the observed field”, Int. Conf. on Digital Signal Processing (DSP), June 2011

63. Barbarossa, S.; Carfagna, A.; Sardellitti, S.; Omilipo, M.; Pescosolido, L.; “Optimal radio access in femtocell networks based on markov modeling of interferers' activity”, 2011 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2011

64. Di Lorenzo, P.; Barbarossa, S.; “Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications”, 2011 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)

65. Munoz-Medina, O.; Vidal, J.; Agustin, A.; Pascual-Iserte, A.; Barbarossa, S.; “Coordinated MIMO precoding for power minimization in femtocell systems”, IEEE GLOBECOM, Dec. 2011

66. Di Lorenzo, P.; Barbarossa, S.; “Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems”, IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2011

67. Barbarossa, S.; Sardellitti, S.; Carfagna, A.; “Pricing mechanisms for interference management games in femtocell networks based on Markov modeling”, Future Network & Mobile Summit (FutureNetw), June 2011

68. Barbarossa, S.; Sardellitti, S.; Carfagna, A.; Vecchiarelli, P.; “Decentralized interference management in femtocells: A game-theoretic approach”, Fifth Int. Conf. on Cognitive Radio Oriented Wireless Networks & Communications (CROWNCOM), 2010

69. Pereira, S.S.; Barbarossa, S.; Pagès-Zamora, A.; “Consensus for distributed EM-based clustering in WSNs”, IEEE Sensor Array and Multichannel (SAM) Signal Processing Workshop, Oct. 2010

70. Di Lorenzo, P.; Barbarossa, S.; “Distributed resource allocation in cognitive radio systems based on social foraging swarms”, IEEE SPAWC 2010, June 2010

71. Barbarossa, S.; Sardellitti, S.; Scutari, G.; Joint optimization of detection thresholds and power allocation for opportunistic access in multicarrier cognitive radio networks”, IEEE CAMSAP 2009, Dec. 2009

72. Barbarossa, S., Scutari, G. Battisti, T., “Cooperative Sensing for Cognitive Radio Using Decentralized Projection Algorithms”, IEEE SPAWC 2009, Perugia, June 2009

73. Sardellitti, S., Pezzolo, L., Barbarossa, S., “Distributed Double Threshold Spatial Detection Algorithms in Wireless Sensor Networks”, IEEE SPAWC 2009, Perugia, June 2009

74. Scutari, G., Palomar, D. P., Barbarossa, S., “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory”, Int. Conf. on Game Theory for Networks, May 2009

75. Barbarossa, S.; Scutari, G.; Battisti, T.; “Distributed signal subspace projection algorithms with maximum convergence rate for sensor networks with topological constraints”, ICASSP 2009, April 2009

76. Barbarossa, S., Battisti, T., Pescosolido, L., Sardellitti, S., Scutari, G., “Distributed processing algorithms for wireless sensor networks having fast convergence and robustness against coupling noise”, ISSSTA 2008, August 2008

77. Di Lorenzo, P., Barbarossa, S., “Wireless sensor networks with distributed decision capabilities based on self-synchronization of relaxation oscillators”, IWCMC 2008, August 2008

78. Scutari, G., Palomar, D. P., Barbarossa, S., “MIMO Cognitive Radio: A Game Theoretical Approach”, IEEE SPAWC 2008,  July 2008

79. Pescosolido, L., Barbarossa, S., Scutari, G., “Average Consensus Algorithms Robust Against Channel Noise”, SPAWC 2008, July 2008

80. Sardellitti, S., Giona, M., Barbarossa, S., “Fast distributed consensus algorithms based on advection-diffusion processes”, SAM 2008, July 2008

81. Pescosolido, L., Barbarossa, S., Scutari, G., “Radar sensor networks with distributed detection capabilities”, Radar 2008, May 2008

82. Scutari, G., Palomar, D. P., Barbarossa, S., “Competitive design of multiuser MIMO interference system based on game theory: A unified framework”, ICASSP 2008, Apr. 2008

83. Pescocolido, L., Barbarossa, S., “Distributed decision in sensor networks based on local coupling through pulse position modulated signals”, ICASSP 2008, Apr. 2008

84. Barbarossa, S., Battisti, T., Swami, A., “Globally optimal decentralized spatial smoothing for wireless sensor networks with local interactions”, ICASSP 2008, Apr. 2008

85. Scutari, G., Barbarossa, S., “Distributed Decision over Wireless Sensor Networks Affected by Multipath Fading”, CAMSAP 2007, Dec. 2007

86. Scutari, G., Palomar,  D. P., Barbarossa, S., “Optimal Decentralized Linear Precoding for Wideband Non-Cooperative Interference Systems Based on Game Theory”, CAMSAP 2007, Dec. 2007

87. Scutari, G., Barbarossa, S., Pescosolido, L., “Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Nonreciprocal Channels”, SPAWC 2007, June 2007

88. Pescosolido, L. Barbarossa, S., “On the optimal relay location and power allocation in a virtual array system with minimum overall outage probability”, SPAWC 2007, June 2007

89. Barbarossa, S., Scutari, G., Swami, A. “Achieving consensus in self-organizing wireless sensor networks: The impact of network topology on energy consumption”, ICASSP 2007, Honolulu, Apr. 2007

90. Fasano, A., Barbarossa, S., “Lossless space-time coding for multiple access systems”, ICASSP 2007, Apr. 2007

91. Scutari, G., Palomar,  D. P., Barbarossa, S., “Distributed totally asynchronous iterative water-filling for wideband interference channel with time/frequency offset”, ICASSP 2007, Apr. 2007

92. Scutari, G., Palomar, D.P., Barbarossa, S., “Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework”, Proc. Information Theory and Applications (ITA) Workshop, Jan. 29 - Feb. 2, 2007

93. Barbarossa, S., Scutari, G., Swami, A., “Distributed detection and estimation in decentralized sensor networks: An overview”, EUSIPCO 2006, Sept. 2006.

94. Scutari, G., Palomar, D. P.; Barbarossa, S.; “Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels”, ISIT 2006, Seattle, July 2006

95. Scutari, G.; Barbarossa, S.; Pescosolido, L.; “Optimal decentralized estimation through self-synchronizing networks in the presence of propagation delays”, SPAWC 2006, July 2006

96. Fasano, A., Barbarossa, S.; “Information Lossless Full-Rate Full-Diversity Trace-Orthogonal Space-Time Codes”, SPAWC 2006, Cannes, July 2006

97. Scutari, G., Palomar, D. P.; Barbarossa, S.; “Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels: A Unified Framework”, SPAWC 2006, Cannes, July 2006

98. Barbarossa, S.; Scutari, G.; Pescosolido, L.; “Global stability of a population of mutually coupled oscillators reaching global maximum likelihhod  estimate through a decentralized approach”, ICASSP 2006, May 2006

99. Pescosolido, L.; Barbarossa, S.; Scutari, G.; “Decentralized detection and localization through sensor networks designed as a population of self-synchronizing oscillators”, ICASSP 2006, May 2006

100. Scutari, G., Barbarossa, S.; Palomar, D. P.; “Potential games: A framework for vector power control problems with coupled constraints”, ICASSP 2006, May 2006

101. Fasano, A.; Barbarossa, S.; “Iterative MMSE Decoder for Trace-Orthogonal Space-Time Coding”, ICASSP 2006, Toulouse, May 2006

102. Barbarossa, S.; “Self-organizing sensor networks with information propagation based on mutual coupling of dynamic systems”, IWWAN 2005, May 2005

103. Barbarossa, S.; Bucciarelli, F.; “On the connectivity of cooperative and non cooperative wireless communication networks”, SPAWC 2005, June 2005

104. Barbarossa, S.; Celano, F.; “Self-organizing sensor networks designed as a population of mutually coupled oscillators”, SPAWC 2005, June 2005

105. Barbarossa, S.; Fasano, A.; “Trace orthogonal space-time coding design for multiuser  systems”, ICASSP 2005, Philadephia, March 2005

106. S. Barbarossa, “Trace-orthogonal design of MIMO systems with simple scalar detectors, full diversity and (almost) full rate", Proc. of IEEE Signal Processing Advances in Wireless Communications, SPAWC 2004, Lisbon, Portugal, July 2004.

107. S. Barbarossa, L. Pescosolido, D. Ludovici, L. Barbetta, G. Scutari, "Cooperative networks based on distributed space-time coding", Proc. of IWWAN 2004, Oulu, Finland, June 2004.

108. G. Scutari, S. Barbarossa, “On the maximum achievable rates in wireless meshed networks: Centralized versus decentralized solutions", Proc. of ICASSP 2004, Montreal, Canada, June 2004.

109. S. Barbarossa, G. Scutari, “Distributed space-time coding strategies for wideband multihop networks: Regenerative vs. non-regenerative relays", Proc. of ICASSP 2004, Montreal, Canada, June 2004.

110. S. Barbarossa, G. Scutari, “Distributed space-time coding for multihop networks", Proc. of ICC 2004, Paris, France, June 2004.

111. S. Barbarossa, G. Scutari, “Optimal rate allocation for multiple access wideband systems with rate profile constraint and adaptive power control", Proc. of IEEE Signal Processing Advances in Wireless Communications, SPAWC 2003, Rome, Italy, June 2003.

112. G. Scutari, S. Barbarossa, D. Ludovici, “Cooperation diversity in multihop wireless networks using opportunistic driven multiple access", Proc. of IEEE Signal Processing Advances in Wireless Communications, SPAWC 2003, Rome, Italy, June 2003.

113. S. Barbarossa, G. Scutari, G. Paccapeli, “Concatenated space-time block coding with maximum diversity gain", Proc. of ICC 2003, Anchorage, Alaska, May 2003.

114. S. Barbarossa, G. Scutari, “GeneralizedWater-Filling for Multiple Transmit Antenna Systems", Proc. of ICC 2003, Anchorage, Alaska, May 2003.

115. S. Barbarossa, G. Scutari, “Cooperative diversity through virtual arrays in multihop networks", Proc. of ICASSP 2003, Hong Kong (China), April 2003.

116. G. Scutari, G. Paccapeli, S. Barbarossa, “Concatenated space-time coding with optimal trade-off between diversity and coding gain", Proc. of ICASSP 2003, Hong Kong (China), April 2003.

117. F. Romano, S. Barbarossa, “Non-data aided adaptive channel shortening for efficient multi-carrier systems", Proc. of ICASSP 2003, Hong Kong (China), April 2003.

118. S. Barbarossa, G. Scutari, “On the maximum common rate in multiple access channels", Proc. of EUSIPCO 2003, Toulouse, Sept. 2003.

119. A. Scaglione, P. Stoica, S. Barbarossa, H. Sampath “Linear precoder and decoder designs for MIMO frequency selective channels", ICASSP 2002, Orlando, May 2002.

120. S. Barbarossa, G. Scutari, A. Swami, “MUI-free CDMA systems incorporating space-time coding and channel shortening", ICASSP 2002, Orlando, May 2002.

121. S. Barbarossa, G. Scutari, D. Scamolla, “Efficient Space-Time Coding for Wideband CDMA Systems Using Variable-Length Cyclic Prefix", European Wireless 2002, Florence (Italy), Febr. 2002.

122. S. Barbarossa, A. Swami, “Estimation of multipath time-varying channel parameters using chirp signals", ISIT 2001, Washington DC, June 2001.

123. S. Barbarossa, R. Torti, “Chirped-OFDM for transmissions over timevarying channels with linear delay-Doppler spreading", ICASSP 2001, Salt Lake City, UT, May 2001.

124. M. Pompili, S. Barbarossa, G.B. Giannakis, “Channel-independent nondata aided synchronization of generalized multiuser OFDM", ICASSP 2001, Salt Lake City, UT, May 2001.

125. S. Barbarossa, A. Scaglione, “ Theoretical bounds on the estimation and prediction of multipath time-varying channels", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP 2000, Istanbul, June 2000.

126. A. Scaglione, S. Barbarossa, “Optimal power loading for OFDM transmissions over underspread Rayleigh time-varying channels", IEEE Int.Conf. on Acoustics, Speech and Signal Proc., ICASSP 2000, Istanbul, June 2000.

127. A. Scaglione, S. Barbarossa, G. B. Giannakis, “ Optimal Adaptive Precoding for frequency-Selective Nagakami-m Fading Channels ", IEEE Vehicular Technology Conf., VTC 2000, Boston, September 2000.

128. A. Swami, S.Barbarossa, B. Sadler, “Blind Source Separation and Signal Classiffication", Proc. of 34th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 1-4, 2000.

129. S. Barbarossa, M. Pompili, G.B. Giannakis, “Time and Frequency Synchronization of Orthogonal Frequency Division Multiple Access System", ICC 2001, Helsinki, June 2001.

130. X. Ma, G.B. Giannakis, S. Barbarossa, “Non-Data-Aided Frequency Offset and Channel Estimation in OFDM and Related Block Transmissions", ICC 2001, Helsinki, June 2001.

131. A. Scaglione, S. Barbarossa, G. B. Giannakis, “Robust OFDM Transmissions over Frequency-Selective Channels with Multiplicative Time-selective effects", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP 2000, Istanbul, June 2000.

132. S. Barbarossa, A. Swami, B. Sadler, G. Spadafora “Classiffication of digital constellations under unknown multipath propagation conditions", Proc. of SPIE, Orlando (FL), April 2000.

133. S.Barbarossa, A. Scaglione, “Optimal precoding for transmissions over linear time-varying channels", Globecom '99, Rio de Janeiro (Brazil), Dec. 1999.

134. G. B. Giannakis, Z. Wang, A. Scaglione, S.Barbarossa, “AMOUR: Generalized Multicarrier CDMA Irrespective of Multipath", Globecom '99, Rio de Janeiro (Brazil), Dec. 1999.

135. A.Scaglione, S.Barbarossa, G.B. Giannakis, “Fading-resistant and MUIfree codes for CDMA systems ", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP'99, Phoenix.

136.  S.Barbarossa, A.Scaglione, “On the capacity of linear time-varying channels", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP'99, Phoenix.

137. G.B. Giannakis, Z. Wang, A.Scaglione, S.Barbarossa, “Mutually Orthogonal Transceivers for Blind Uplink CDMA Irrespective of Multipath Channel Nulls", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP'99, Phoenix.

138. S.Barbarossa, A.Scaglione, G.B. Giannakis, “Performance Analysis of Redundant Precoding Schemes with blind channel Estimation Capability", IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC'99, Annapolis, Maryland.

139. Z. Wang, G.B. Giannakis, A.Scaglione, S.Barbarossa, “Vandermonde-Lagrange Mutually Orthogonal Flexible Transceivers for Blind CDMA in Unknown Multipath", IEEE Workshop on Signal Processing Advances on Wireless Communications, SPAWC'99, Annapolis, Maryland.

140. Z. Liu , A. Scaglione, S. Barbarossa, G. B. Giannakis, “Block Space- Time Antenna Precoding/Decoding for Generalized Multicarrier Communications in Unknown Multipath", Proc. of the 34th Allerton Conf. on Communications, Control, and Computing, Allerton '99, Urbana, Univ. of Illinois at U-C, Monticello, Il, September 22-24, 1999.

141. Z. Liu, G. B. Giannakis, A. Scaglione, and S. Barbarossa, “Block Precoding and Transmit-Antenna Diversity for Decoding and Equalization of Unknown Multipath Channels," Proc. of 33rd Asilomar Conf. on Signals, Systems, and Computers, vol. 2, pp. 1557-1561, Pacific Grove, CA, Nov. 1-4, 1999.

142. A.Scaglione, S.Barbarossa, G.B. Giannakis, “Redundant Filterbank Precoders and Equalizers: Optimal Design for the Maximization of the Information Rate", Conference on Information Science and Systems, CISS '98, Princeton, March 1998.

143. S.Barbarossa, A. Scaglione, “Demodulation of CPM Signals Using Piecewise Polynomial-Phase Modeling", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '98, Seattle (WA), May 1998.

144. A.Scaglione, G.B. Giannakis, S.Barbarossa, “Self-Recovering Multirate Equalizers Using redundant Filterbank Precoders" , IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '98, Seattle (WA), May 1998.

145. A.Scaglione, G.B. Giannakis, S.Barbarossa, “Redundant Filterbank Precoders and Equalizers: Unification and Optimal Design", IEEE International Conf. on Communications, ICC'98, Atlanta (GA), June 1998.

146. A.Scaglione, S.Barbarossa, G.B. Giannakis, “Direct Equalization of Time- Selective Fading Channels using Redundant Filterbank Precoders", IEEE Workshop on Digital Signal Processing, DSP '98, Bryce Canyon (UT), August 1998.

147. A.Scaglione, G.B. Giannakis, S.Barbarossa, “Optimal FIR Redundant Filterbank Precoders and Equalizer Maximizing Information Rate in Block Transmissions over Frequency-Selective Channels", Globecom '98, Sidney, Nov. 1998.

148. A.Scaglione, S.Barbarossa, G.B. Giannakis, “Inverting Overdetermined Toeplitz Matrices with Application to Channel Equalization in Block Transmission Systems", Proc. 32nd Asilomar Conf. Signals, Systems and Computers, Pacific Grove (CA), Nov. 1998.

149. S.Barbarossa, A.Scaglione, S.Spalletta, S.Votini, “Adaptive Suppression of Wideband Interferences in Spread-Spectrum Communications Using the Wigner-Hough Transform", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '97, pp.3861-3864, Munich, April 21-24, 1997.

150. S.Barbarossa, A.Scaglione, “Polynomial Minimum Shift Keying Modulation: Simplified Decoding of CPM Signals", IEEE Workshop on Signal Processing Advances on Wireless Communications, SPAWC '97, Paris, April 1997.

151. S.Barbarossa, A.Scaglione, “Parameter Estimation of Spread Spectrum Frequency-Hopping Signals Using Time-Frequency Distributions", IEEE Workshop on Signal Processing advances on Wireless Communications, SPAWC '97, Paris, April 1997.

152. S.Barbarossa, A.Scaglione, A.Baiocchi, G.Colletti, “Modeling network traffic data by a doubly stochastic point process with self-similar intensity process and fractal renewal point process", Proc. of the 31st Asilomar Conf. on Signals, Systems and Computers, Pacific Grove (CA), Nov. 1997.

153. S.Barbarossa, A.Scaglione, “Motion compensation and target classification based on parametric modeling of the instantaneous frequency of echoes backscattered from rigid bodies", Proceedings of the 31st Asilomar Conf. Signals, Systems and Computers, Pacific Grove (CA), Nov. 1997.

154. S.Barbarossa, F. Mameli, A.Scaglione, “Adaptive detection and parameter estimation of polynomial-phase signals embedded in noise using high order ambiguity functions", Proceedings of the 31st Asilomar Conf. Signals, Systems and Computers, pp. 1228{1232, Pacific Grove (CA), Nov. 1997.

155. S.Barbarossa, A.Scaglione, “Blind Equalization Using Cost Function Matched to the Signal Constellation", Proceedings of the 31st Asilomar Conf. Signals, Systems and Computers, Pacific Grove (CA), Nov. 1997.

156.  A.Scaglione, S.Barbarossa, “Estimating Motion Parameters Using Parametric Modeling Based on Time-Frequency Representations", Radar '97, Edinburgh, UK, Oct. 1997.

157. S.Barbarossa, A.Scaglione, “Target Recognition Using a Set of Scale, Rotation and Translation Invariant Features Extracted Directly from the Radar Echoes", Radar '97, Edinburgh, UK, Oct. 1997.

158. A.Scaglione, G.B. Giannakis, S.Barbarossa, “Redundant Filterbank Precoders and Equalizers: Unification, Optimal Design and Blind Recovery", Proc. of 34th Allerton Conf. On Communications, Control, and Computing, Urbana (IL), Oct. 1997.

159. S.Barbarossa, L.Marsili, G.Mungari “SAR Super-Resolution Imaging by Signal Subspace Projection Techniques", European Conf. on Synthetic Aperture Radar, Konigswinter, 26-28 March 1996.

160. S.Barbarossa, A. Porchia, A.Scaglione, “Multiplicative Multilag Higher Order Ambiguity Function", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '96, Atlanta (GA), May 1996.

161. A.Porchia, S.Barbarossa, A.Scaglione, G.Giannakis “Autofocusing Techniques for SAR Imaging Based on the Higher Order Ambiguity Function", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '96, Atlanta (GA), May 1996.

162. A.Scaglione, S.Barbarossa, A.Porchia, G.Scarano, “Nonlinear Time-Frequency Representations with Multiplication-Free Kernels", IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP '96, Corfu (Greece), June 1996.

163. S.Barbarossa, “Parameter Estimation of Muticomponent Polynomial-Phase Signals by Intersection of Signal Subspaces", IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP '96, Corfu (Greece), June 1996.

164. S.Palumbo, S.Barbarossa, A.Farina, M.R. Toma “Classification Techniques of Radar Signals Backscattered by Helicopter Blades", Int. Symposium on Digital Signal Processing, London (UK), 22-25, July 1996.

165. S.Barbarossa, A.Ventrella, “Progressive Transmission by Wavelet Zero- Tree Coding and Embedded Modulation", IEEE Digital Signal Processing Workshop, Loen (Norway), 1-4 September 1996.

166. M.Valeri, S.Barbarossa, A.Farina, L.Timmoneri “Monopulse estimation of target direction of arrival with phased arrays in presence of interferences", IEEE Int. Symposium on Phased Array Systems and Technology, Boston (MA), 15-18 October 1996.

167. S.Barbarossa, L.Parodi “Tree-Structured Wavelet Decomposition Based on the Maximization of Fisher's Distance", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '95, Detroit, May 1995

168. S.Barbarossa, L.Parodi “SAR Image Classification by Wavelet Transform", IEEE International Radar Conf., Washington, May 1995.

169. S.Barbarossa, G.Scarano “Analysis of Polynomial-Phase Signals by a Fast Hybrid Nonlinear Generalized Ambiguity Function", IEEE Signal Processing Workshop on Higher-Order Statistics, HOS '95, Parador de Aiguablava, June 1995.

170. S.Barbarossa, G.Schiappa “Analysis of Multicomponent Signals by Multilinear Time-Frequency Representations", IEEE Int. Conf. on Acoustics, Speech and Signal Proc. , ICASSP '94, Adelaide, 19-22 April 1994.

171. C.Boni, M.Richard, S.Barbarossa “Optimal Configuration and Weighting of Nonuniform Arrays According to a Maximum ISLR Criterion", IEEE Int. Conf. on Acoustics, Speech and Signal Proc., ICASSP '94, Adelaide, 19-22 April 1994.

172. S.Barbarossa, G.R.Mascolo “Autofocusing Techniques for Imaging Moving Targets by SAR Based on Multilinear Time-Frequency Representations", Int. Radar Conf., Paris '94.

173. A.Farina, S.Barbarossa, M.Ceccarelli, A.Petrosino, L.Timmoneri, F.Vinelli, “Application of Extreme Eigenvalue Analysis to Signal and Image Processing for Radar", Int. Radar Conf., Paris '94.

174. S.Barbarossa, T.Bucciarelli, M.Graziano, A.Scilletta “SAR Imaging of Moving Targets by the Wigner-Hough Transform", IEE and SEE Colloquium on SAR '93, Gif-sur-Yvette, 26 April 1993.

175. S.Barbarossa :”Detection and Estimation of the Instantaneous Frequency of Polynomial-Phase Signals by Multilinear Time-Frequency Representations", IEEE Workshop on Higher-Order Statistics, HOS '93, South Lake Tahoe, June 1993.

176.  S.Barbarossa, A.Zanalda: “A Combined Wigner-Ville and Hough Transform for Cross Terms Suppression and Optimal Detection and Parameter Estimation", IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP '92), San Francisco.

177. S.Barbarossa, T.Bucciarelli, R.Parisi: “Application of Neural Networks in Doppler Analysis", International Symposium on Signals, Systems and Electronics, ISSSE '92, Paris, 1-4 Sept. 1992.

178. S. Barbarossa:”Parameter estimation of undersampled signals by Wigner- Ville analysis", IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP '91), May 14-17, 1991, Toronto.

179. S. Barbarossa, A.Farina: “ Detection and imaging of moving objects with SAR by a joint space-time-frequency processing", 1991 CIE International Radar Conf., Oct. 22-24, Bejing (China), 1991, pp.307-311.

180. S. Barbarossa, P.T. Melacci, G. Picardi, R. Seu, “A conceptual SAR/altimeter with sub-surface capabilities for space missions", IEEE Int.nal Radar Conf., Arlington (VA), May 1990, pp.76-80.

181.  S. Barbarossa, G.Picardi: “The Synthetic Aperture Concept applied to the Altimetry: Surface and Subsurface Imaging", Proc. of European Space Agency Workshop, Mullard Space Center, London, June 1990.

182. S. Barbarossa, A. Farina: “A Novel Procedure for Detecting and Focusing Moving Objects with SAR based on the Wigner-Ville Distribution", Proc. of IEEE Int.nal Radar Conf., Arlington (VA), May 7-10, 1990, pp. 44-50.

183. S. Barbarossa: “Doppler-rate filtering for detecting moving targets with SAR", in “MillimeterWave and Synthetic Aperture Radars", G.K. Huddleston, M.Tanenhaus, P. Williams (Eds.), Proceedings of SPIE, Vol.1101, pp.140-147, 1989.

184. S. Barbarossa, G.Picardi, G.Taranto, “The spotlight mode to solve high resolution problems in imaging radars", Melecon '87, Rome (Italy), 1987.

185. S. Barbarossa, R.Bicocchi, A.Facci, P.T. Melacci, S.Moriconi, G.Picardi, “High resolution mono and bi-dimensional imaging radar", Int.nal Conf. on Digital Signal Processing, Firenze, 7-10 Sept. 1987, pp.607-611. 

186. S. Barbarossa, G.Levrini, “An antenna pattern synthesis technique for spaceborne SAR performance optimization", Proc. of IEEE Geoscience and Remote Sensing Symposium, (IGARSS '87), Ann Arbor (MI), 18-21 May, 1987.

187. S.Barbarossa, A.Russo, F.A.Studer, “Estimation and suppression of simultaneous spectra by generalized adaptive MTI", CIE '86, Int.nal Conf. on Radar, Nanjing (China), Nov 4-7, 1986.

188. S.Barbarossa, G.Galati, G.Picardi, “Optimal and Sub-Optimal Techniques for Clutter Suppression in Pulsed Radars by Real-Time Estimation of the Interference", Dixieme Colloque sur le Traitement du Signal et ses Applications, Nice, 20-24 May, 1985.

189. S. Barbarossa, G. Picardi, “A Trade-off between Durbin-Levinson and Burg Algorithms for Clutter Cancelation in Search Radars", Int.nal Conf. on Digital Signal Processing, Florence (Italy), Sept.1984.