Publications

The Lab has generated more than 100 technical publications, including the international journals (IEEE/ACM Transactions) of highest impact in the field, and in international prestigious conferences.

Journals Papers

  • D. Romero, V. N. Ioannidis, and G. B. Giannakis, “Kernel-based reconstruction of space-time functions on dynamic graphs,” IEEE J. Sel. Topics Sig. Process., vol. 11, pp. 1–14, Sep. 2017.
  • D. Romero, S.-J. Kim, G. B. Giannakis, and R. López-Valcarce, “Learning power spectrum maps from quantized power measurements,” IEEE Trans. Sig. Process., vol. 65, pp. 2547–2560, May 2017.
  • D. Romero, M. Ma, and G. B. Giannakis, “Kernel-based reconstruction of graph signals,” IEEE Trans. Sig. Process., vol. 65, pp. 764–778, Feb. 2017.
  • G. Tsagkatakis, B. Beferull-Lozano, P. Tsakalides. Singular Spectrum based Matrix Completion for Time-Series Recovery and Prediction, EURASIP Journal on Advances in Signal Processing, Special Issue on Signal Processing for Big Data, June 2016.
  • D. Romero, D. D. Ariananda, Z. Tian, and G. Leus, “Compressive covariance sensing: Structure-based compressive sensing beyond sparsity,” IEEE Sig. Process. Mag., vol. 33, pp. 78–93, Jan. 2016.
  • D. D. Ariananda, D. Romero, and G. Leus, “Compressive periodogram reconstruction using uniform binning,” IEEE Trans. Sig. Process., vol. 63, pp. 4149–4164, Aug. 2015.
  • D. Romero, R. López-Valcarce, and G. Leus, “Compression limits for random vectors with linearly parameterized second-order statistics,” IEEE Trans. Inf. Theory, vol. 61, pp. 1410–1425, Mar. 2015.
  • I. Alustiza, P. Crespo, B. Beferull-Lozano, Analog Multiple Description Joint Source-Channel Coding Based on Lattice Scaling, IEEE Transactions on Signal Processing, Vol. 63, no. 12, pp. 3046-3061, March 2015.
  • C. Asensio, B. Beferull-Lozano, Energy efficient Consensus over Complex Networks, IEEE Journal of Selected Topics in Signal Processing, March 2015.
  • D. Romero and R. López-Valcarce, “Spectrum sensing for wireless microphone signals using multiple antennas,” IEEE Trans. Veh. Technol., vol. 63, pp. 4395–4407, Nov. 2014.
  • J. Schmidt, D. Romero, and R. López-Valcarce, “Active interference cancellation for OFDM spectrum sculpting: Linear processing is optimal,” IEEE Commun. Lett., vol. 18, pp. 1543–1546, Sep. 2014.
  • D. Romero and G. Leus, “Wideband spectrum sensing from compressed measurements using spectral prior information,” IEEE Trans. Sig. Process., vol. 61, pp. 6232–6246, Dec. 2013.
  • S. Shah, B. Beferull-Lozano, Joint Sensor Selection and Multi-hop Routing for Distributed Estimation in Ad-hoc Wireless Sensor Networks, IEEE Transactions on Signal Processing, Vol. 61, no. 24, Dec 2013.
  • X. Huang, B. Beferull-Lozano, C. Botella, Quasi Nash Equilibrium for non-convex distributed power allocation games in Cognitive Radios, IEEE Transactions on Wireless Communications, Vol. 12, no. 7, July 2013.
  • X. Insausti, F. Camaro, P. Crespo, B. Beferull-Lozano, J. Gutiérrez-Gutiérrez, Distributed Gossip Algorithm and Finite-Length Computational Codes for Efficient In-network Subspace Projection, IEEE Journal of Selected Topics in Signal Processing, Vol. 7, no. 2, 2013.
  • A. Erdozain, P. Crespo, B. Beferull-Lozano, Multiple Description Analog Joint Source-Channel Coding to Exploit the Diversity in Parallel Channels, IEEE Transactions on Signal Processing, Vol. 60, no. 11, November 2012.
  • B. Beferull-Lozano, R. Konsbruck, On Multiterminal source coding for temperature sensing in shift-invariant geometries, IEEE Transactions on Communications, Vol. 59, no. 4, February 2011.
  • T. Lambrou, C. G. Panayiotou, S. Felici-Castell, B. Beferull-Lozano, Exploiting mobility for efficient coverage in sparse wireless sensor networks, Wireless Personal Communications, Vol. 54, no. 1, July 2010.
  • G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Rotation-Invariant Texture retrieval via Signature Alignment based on Steerable Sub-gaussian modelling, IEEE Transactions on Image Processing, Vol. 17, no. 7, July 2008.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, Space-Frequency Quantization for Image Compression with Directionlets, IEEE Transactions on Image Processing, Vol. 16, no. 7, July 2007.
  • R. Cristescu and B. Beferull-Lozano, Lossy Network Correlated Data Gathering with High-Resolution Coding, IEEE Transactions on Information Theory, Vol. 52, no. 6, June 2006.
  • G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Rotation-Invariant Texture retrieval with gaussianized steerable pyramids, IEEE Transactions on Image Processing, Vol. 15, no. 9, September 2006.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P.L. Dragotti, Directionlets: Anisotropic Multidirectional Representation with Separable Filtering, IEEE Transactions on Image Processing, Vol. 15, no. 7, July 2006.
  • D. Ganesan, R. Cristescu and B. Beferull-Lozano, Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints, ACM Transactions on Sensor Networks, Vol. 2, no. 2, May 2006.
  • G. Barrenechea, B. Beferull-Lozano and M. Vetterli, Lattice Networks: Capacity Limits, Optimal Routing and Queueing behavior. IEEE/ACM Transactions on Networking, Vol. 14, no. 3, June 2006.
  • I. Jovanovic and B. Beferull-Lozano, Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation,  IEEE Transactions on Signal Processing, Vol. 54, no. 5, May 2006.
  • R. Cristescu, B. Beferull-Lozano, M. Vetterli and R. Wattenhofer, Network Correlated Data Gathering with Explicit Communication: NP-Completeness and Algorithms, IEEE/ACM Transactions on Networking, Vol. 14, no. 1, February 2006.
  • R. Cristescu, B. Beferull-Lozano and M. Vetterli, Networked Slepian-Wolf: Theory, Algorithms and Scaling Laws, IEEE Transactions on Information Theory, Vol. 51, no. 12, pp. 4057-4073, December 2005.
  • N.J.A. Sloane and B. Beferull-Lozano, Quantizing using lattice intersections, Discrete and Computational Geometry, Vol. 25, pp. 799-824, June 2003.
  • B. Beferull-Lozano and A. Ortega, Efficient Quantization for Overcomplete Expansions in R^N, IEEE Transactions on  Information Theory, Vol. 49, No. 1, pp. 129-150, January, 2003.

Submissions

  • D. Romero, V. N. Ioannidis, and G. B. Giannakis, “Kernel-based reconstruction of space-time functions on dynamic graphs,” IEEE J. Sel. Topics Sig. Process. (Submitted Oct., available on arXiv), 2016.
  • L. Zhang, G. Wang, D. Romero, and G. B. Giannakis, “Block-coordinate Frank-Wolfe algorithms: Feasible step sizes and convergence analysis,” IEEE Trans. Sig. Process. (Submitted Dec.), 2016.
  • C. Asensio-Marco, D. Alonso-Román and B. Beferull-Lozano, Cross-layer MAC Protocol for Unbiased Average Consensus under SINR Model, Submitted to IEEE/ACM Transactions on Networking.
  • D. Alonso-Román, C. Asensio-Marco, Eugenio Celada-Funes, B. Beferull-Lozano, Adaptive and distributed MAC protocol for high performance of massive traffic applications in WSN, Submitted to IEEE/ACM Transactions on Networking.
  • C. Asensio-Marco, B. Beferull-Lozano, Optimal topology design for energy efficient consensus in Broadcast Wireless Sensor Networks, Submitted to IEEE Transactions on Wireless Communications.
  • V-P. Chowdappa, C. Botella, B. Beferull-Lozano, Distributed incremental cluster based spatial field reconstruction in Wireless Sensor Networks using Kriging, Submitted to Wireless Communications and Mobile Computing, 2015

Book chapters and edited volumes

  • G. Tzagkarakis, G. Tsagkatakis, D. Alonso, E. Celada, C. Asensio, A. Panousopoulou, P. Tsakalides, B. Beferull-Lozano,  “Signal and Data Processing Techniques for Industrial Cyber-Physical Systems”, Cyber Physical Systems: From Theory to Practice, 1st edited by D.B. Rawat, J. Rodrigues, I. Stojmenovic, January 2015; CRC Press, US.
  • X. Insausti, P. Crespo, B. Beferull, J. Del Ser, Concurrent and Distributed Projection through Local Interference for Wireless Sensor Networks, Mobile Lightweight Wireless Systems, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 81, pp. 109-119, 2011, Springer.
  • V. Velisavljevic, M. Vetterli, B. Beferull, P.L. Dragotti, Sparse Image Representation by Directionlets. Elsevier Advances in Imaging and Electron Physics, editor Peter Hawkes, vol. 161-04, pp. 147-209, March 2010.
  • R. Cristescu, B. Beferull-Lozano and M. Vetterli, Networked Slepian-Wolf: Theory and Algorithms, Edited Volume in Springer Verlag, Lecture Notes in Computer Science, Vol. 2920, Eds. H. Karl, A. Willig, A. Wolisz, January 2004.

Conference Papers

  • R. López-Valcarce and D. Romero, “Defending surveillance sensor networks against data-injection attacks via trusted nodes,” in Proc. European Sig. Process. Conf., (Kos, Greece), Aug. 2017.
  •  V. Ioannidis, D. Romero, and G. B. Giannakis, “Inference of spatiotemporal processes over graphs via kernel kriged Kalman filtering,” in Proc. European Sig. Process. Conf., (Kos, Greece), Aug. 2017.
  • T. Jordbru, H. Idsøe, L. Cenkeramaddi, B. Beferull-Lozano, M. Hamid, Radio measurements on a customised software defined radio module: a case study of Energy detection spectrum sensing, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2017.
  • D. Romero, D. Lee, and G. B. Giannakis, “Blind channel gain cartography,” in Global Conf. Sig. Inf. Process., (Greater Washington, D. C.), pp. 1110–1115, Dec. 2016.
  • V. N. Ioannidis, D. Romero, and G. B. Giannakis, “Kernel-based reconstruction of space-time functions via extended graphs,” in Proc. Asilomar Conf. Sig., Syst., Comput., pp. 1829–1833, Nov. 2016.
  • D. Romero, M. Ma, and G. B. Giannakis, “Estimating signals over graphs via multi-kernel learning,” in Proc. Workshop Stat. Sig. Process., (Palma de Mallorca, Spain), Jun. 2016.
  • R. López-Valcarce and D. Romero, “Design of data-injection adversarial attacks against spatial field detectors,” in Proc. Workshop Stat. Sig. Process., (Palma de Mallorca, Spain), Jun. 2016.
  •  L. Zhang, D. Romero, and G. B. Giannakis, “Fast convergent algorithms for multi-kernel regression,” in Proc. Workshop Stat. Sig. Process., (Palma de Mallorca, Spain), Jun. 2016.
  • R. López-Valcarce, D. Romero, J. Sala, and A. Pages-Zamora, “Distributed multivariate regression with unknown noise covariance in the presence of outliers: An mdl approach,” in Proc. Workshop Stat. Sig. Process., (Palma de Mallorca, Spain), Jun. 2016.
  • D. Alonso-Román, B. Beferull-Lozano, Adaptive consensus-based distributed Kalman filter for WSNs with random link failures, IEEE International Conference on Distributed Computing in Sensor Systems, May 2016.
  • D. Alonso-Román, B. Beferull-Lozano, Adaptive consensus-based distributed detection in WSN with unreliable links, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016.
  • C. Asensio-Marco, D. Alonso-Román, B. Beferull-Lozano, Ensuring high performance of consensus-based estimation by lifetime maximization in WSNs, IEEE International Conference on Distributed Computing in Sensor Systems, June 2015.
  • D. Alonso-Román, C. Asensio-Marco, E. Celada-Funes, B. Beferull-Lozano, Consensus based distributed estimation of biomass concentration in reverse osmosis membranes,  1st International Workshop on Cyber-Physical Systems for Smart Water Networks, CPS Week, Seattle, April 2015.
  • D. Romero, D. Berberidis, and G. B. Giannakis, “Quickest convergence of online algorithms via data selection,” in Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process., (Shanghai, China), pp. 6185–6189, Mar. 2016.
  • R. López-Valcarce and D. Romero, “Attack detectors for data aggregation in clustered sensor networks,” in Proc. European Sig. Process. Conf., (Nice, France), pp. 2053–2057, Aug. 2015.
  • D. Romero, S.-J. Kim, R. López-Valcarce, and G. B. Giannakis, “Spectrum cartography using quantized observations,” in Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process., (Brisbane, Australia), pp. 3252 – 3256, Apr. 2015.
  •  D. Romero, S.-J. Kim, and G. B. Giannakis, “Online spectrum cartography via quantized measurements,” in Proc. Conf. Inf. Sci. Syst., (Baltimore, MD), Mar. 2015.
  •  J. F. Schmidt, D. Romero, and R. López-Valcarce, “Low-power active interference cancellation for OFDM spectrum sculpting,” in Proc. European Sig. Process. Conf., (Lisbon, Portugal), pp. 581–585, 2014.
  •  D. Romero and R. López-Valcarce, “Nearly-optimal compression matrices for signal power estimation,” in Proc. IEEE Int. Workshop Sig. Process. Advances Wireless Commun., (Toronto, Canada), pp. 434–438, Jun. 2014.
  • D. D. Ariananda, D. Romero, and G. Leus, “Cooperative compressive power spectrum estimation,” in Proc. of IEEE Sensor Array Multichannel Sig. Process. Workshop, (A Corunha, Spain), pp. 97–100, Jun. 2014.
  • E. Celada-Funes, D. Alonso-Román, C. Asensio-Marco, B. Beferull-Lozano, A reliable CSMA protocol for high performance broadcast communications in a WSN, IEEE GLOBECOM, 2014.
  • C. Asensio-Marco, B. Beferull-Lozano, Fast Average Gossiping Under Asymmetric Links in WSNs, EUSIPCO, 2014.
  • C. Asensio-Marco, D. Alonso-Román, B. Beferull-Lozano, Achieving energy-efficient distributed consensus in wireless Scale Free Networks, IEEE International Conference on Communications, Sydney, 2014.
  • C. Asensio-Marco, B. Beferull-Lozano, Optimal topology design for energy efficient consensus in broadcast Wireless Sensor Networks, IEEE International Conference on Communications, Sydney, 2014.
  • E. Celada-Funes, B. Beferull-Lozano, Reaction-Diffusion on Dynamic Inhibition Areas: A Bio-Inspired Link Scheduling Algorithm, IEEE Wireless Communications and Networking Conference, April 2014, Istanbul, Turkey, 2014.
  • S. Shah, B. Beferull-Lozano, Adaptive Quantization for Multihop Progressive Estimation in Wireless Sensor Networks,  EUSIPCO 2013.
  • C. Asensio, D. Alonso, F. Camaró, B. Beferull-Lozano, Topology optimization for a trade off between energy cost and network lifetime in average consensus, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, 2013.
  • D. Alonso, F. Camaró, C. Asensio,  B. Beferull-Lozano, Distributed subspace projection over wireless sensor networks with unreliable links, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013.
  • X. Huang, B. Beferull-Lozano, C. Botella, Non-convex Power Allocation Game in MIMO Cognitive  Radio Networks, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013.
  • E. Celada-Funes, B. Beferull-Lozano, Dynamic Inhibition Areas for Accurately Solving the Shortest Link Scheduling Problem, IEEE International Conference on Communications (ICC), 2013.
  • E. Celada-Funes, D. Alonso-Román, B. Beferull-Lozano, C. Asensio-Marco, Field reconstruction in a WSN through distributed orthogonal projection, European Workshop on Sensor Networks (EWSN), 2013.
  • D. Alonso, E. Celada, C. Asensio, B. Beferull-Lozano, Improving reliability and efficiency of communications in WSNs under high traffic demand, IEEE Wireless Communications and Networking Conference (WCNC), 2013.
  • F. Camaró, D. Alonso, C. Asensio, B. Beferull-Lozano, Reducing the observation error in a WSN through a consensus-based subspace projection, IEEE Wireless Communications and Networking Conference (WCNC), 2013.
  • D. D. Ariananda, D. Romero, and G. Leus, “Compressive angular and frequency periodogram reconstruction for multiband signals,” in Proc. IEEE Int. Workshop Comput. Advances Multi-Sensor Adaptive Process., (San Martin, France), pp. 440–443, Dec 2013.
  • D. Romero, R. López-Valcarce, and G. Leus, “Compressive wideband spectrum sensing with spectral prior information,” in Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process., (Vancouver, Canada), pp. 4469–4473, May. 2013.
  • D. Romero and R. López-Valcarce, “Spectrum sensing in time-varying channels using multiple antennas,” in Proc. IEEE Int. Workshop Sig. Process. Advances Wireless Commun., (Darmstadt, Germany), pp. 135–139, Jun. 2013.
  • D. Romero and G. Leus, “Compressive covariance sampling,” in Proc. Inf. Theory Appl. Workshop, (San Diego, CA), pp. 1–8, Feb. 2013.
  • X. Insausti, P. Crespo, B. Beferull-Lozano, Distributed Subspace Projection in Wireless Sensor Networks using Computational Codes, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
  • X. Insausti, P. Crespo, B. Beferull-Lozano, In-network computation of the Transition Matrix for Distributed Subspace Projection, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
  • C. Asensio, B. Beferull-Lozano, Network topology optimization for accelerating consensus algorithms under power constraints, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
  • S. Shah, B. Beferull-Lozano, In-Network Iterative Distributed Estimation for Power-constrained Wireless Sensor Networks, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012.
  • C. Asensio, B. Beferull-Lozano, Link scheduling in Sensor Networks for asymmetric average consensus, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2012.
  • S. Shah, B. Beferull-Lozano, Power-aware Joint Sensor Selection and Routing for Distributed Estimation: a Convex Optimization Approach, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2012 (Best Paper Award).
  • G. Hernández, B. Beferull-Lozano, Field Estimation in Wireless Sensor Networks Using Distributed Kriging, IEEE International Conference on Communications (ICC), June 2012.
  • X. Huang, B. Beferull-Lozano, Non-Cooperative Power Allocation Game with Imperfect Sensing Information for Cognitive Radio, IEEE International Conference on Communications (ICC), June 2012.
  • I. Khalife, B. Beferull-Lozano, Power-Constrained Sensor Selection and Routing for Cooperative Detection in Cognitive Radios, IEEE International Conference on Communications (ICC), June 2012.
  • A. Erdozain, P. Crespo, B. Beferull-Lozano, Optimum distortion exponent in parallel fading channels by using analog joint source-channel coding schemes, Data Compression Conference (DCC), Snowbird (Utah, USA), April 2012.
  • C. Asensio, B. Beferull-Lozano, Asymmetric Average Consensus Under SINR-based Interference, EUSIPCO 2012.
  • G. Hernández, C. Asensio, B. Beferull-Lozano, Distributed Estimation of Statistical Correlation Measures for Spatial Inference in WSNs, EUSIPCO 2012.
  • I. Alustiza, A. Erdozain, P. Crespo, B. Beferull-Lozano, Bandwidth-Reduction Analog Mappings for AWGN Channels with Side Information, EUSIPCO 2012.
  • I. Alustiza, A. Erdozain, P. Crespo, B. Beferull-Lozano, Multiple Description Analog Joint Source-Channel Coding for Parallel Channels with Side Information, EUSIPCO 2012.
  • G. Boccolini, G. Hernández, B. Beferull-Lozano, Wireless Sensor Network for Spectrum Cartography Based on Kriging Interpolation, IEEE PIMRC 2012.
  • S. Shah, B. Beferull-Lozano, In-network local distributed estimation for power-constrained wireless sensor networks, IEEE 75th Vehicular Technology Conference, VTC-spring ’2012, Yokohama, Japan, May 2012.
  •  D. Romero, J. Vía, R. López-Valcarce, and I. Santamaria, “Detection of Gaussian signals in unknown time-varying channels,” in Proc. Workshop Stat. Sig. Process., (Ann Arbor, MI), pp. 916–919, Aug. 2012.
  • D. Romero and R. López-Valcarce, “Detection of unknown constant magnitude signals in time-varying channels,” in Proc. Cognitive Inf. Process., (Baiona, Spain), May 2012.
  • D. Romero, R. López-Valcarce, and G. Leus, “Generalized matched filter detector for fast fading channels,” in Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process., (Kyoto, Japan), pp. 3165–3168, Mar. 2012.
  • D. Romero and R. López-Valcarce, “Bandlimited or constant envelope? exploiting waveform properties in wireless microphone detection,” in Proc. IEEE Int. Workshop Comput. Advances Multi-Sensor Adaptive Process., (San Juan, Puerto Rico), pp. 321–324, Dec. 2011.
  •  D. Romero and R. López-Valcarce, “Multiantenna detection of constant-envelope signals in noise of unknown variance,” in Proc. IEEE Int. Workshop Sig. Process. Advances Wireless Commun., (San Francisco, CA), pp. 446–450, Jun. 2011.
  • D. Romero and R. López-Valcarce, “Distributed spectrum sensing with multiantenna sensors under calibration errors,” in Proc. IEEE Int. Workshop Sig. Process. Advances Wireless Commun., (San Francisco, CA), pp. 441–445, Jun. 2011.
  • X. Huang, B. Beferull-Lozano, Power Allocation Optimization in OFDM-based Cognitive Radios Based on Sensing Information, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, 2011.
  • I. Khalife, B. Beferull-Lozano, Closed-form Approximations for Cooperative LLR-based Energy Detection in Cognitive Radios, IEEE International Conference on Communications, Kyoto, 2011.
  • A. Erdozain, P. M. Crespo, B. Beferull-Lozano, Analog Joint Source-Channel Multiple Description Coding Scheme over AWGN Parallel Channels, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, 2011.
  • C. Asensio, B. Beferull, A greedy perturbation approach to accelerating consensus algorithms and reducing its power consumption, IEEE International Statistical Signal Processing Workshop, 2011.
  • C. Asensio, B. Beferull-Lozano, Accelerating consensus gossip algorithms: sparsifying networks can be good for you, IEEE International Conference on Communications, 2010.
  • C. Asensio, B. Beferull-Lozano, Finding sparse connectivity patterns in power-constrained ad-hoc networks for accelerating consensus algorithms, EUSIPCO 2010.
  • E. Portu-Repollés, B. Beferull-Lozano, Joint sensor selection and Routing for Distributed Estimation in Wireless Sensor Networks, Eusipco 2009, Glasgow, Scotland, August 2009.
  • K. Flouri, B. Beferull-Lozano and P. Tsakalides, Optimal Gossip Algorithm for Distributed Consensus SVM Training in Wireless Sensor Networks, IEEE International Conference on Digital Signal Processing, Greece, 2009.
  • K. Flouri, B. Beferull-Lozano and P. Tsakalides, Distributed Consensus Algorithms for SVM Training in Wireless Sensor Networks, EUSIPCO, Lausanne, 2008.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, Space-Frequency Quantization using Directionlets, IEEE International Conference on Image Processing, 2007.
  • T.P. Lambrou, S. Felici, C. G. Panayiotou, B. Beferull-Lozano, Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks, International Symposium on Wireless Personal Multimedia Communications (WPMC), 2007.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli, P.L. Dragotti, Low-Rate Reduced Complexity Image Compression using Directionlets, IEEE International Conference on Image Processing, Atlanta 2006.
  • K. Flouri, B. Beferull-Lozano and P. Tsakalides. Training a SVM-based Classifier in Distributed Sensor Networks, EUSIPCO 2006, Florence, 2006.
  • K. Flouri, B. Beferull-Lozano and P. Tsakalides. Power-efficient distributed Support Vector Machines for Wireless Sensor Networks, European Workshop on Sensor Networks (EWSN), 2006.
  • J. Acimovic, B. Beferull-Lozano and R. Cristescu. Adaptive distributed algorithms for power-efficient data gathering in sensor networks, IEEE International Symposium on Wireless Sensor Networks, WirelessCom 2005, Hawai.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P.L. Dragotti. Approximation power of Directionlets, in Proc. of IEEE International Conference on Image Processing (ICIP), Genova, September 2005.
  • G. Barrenetxea, B. Beferull-Lozano and M. Vetterli. Efficient routing with small buffers in dense networks, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor networks (IPSN), April 2005, Los Angeles, CA.
  • R. Cristescu, B. Beferull-Lozano. Lossy network correlated data gathering with high-resolution coding, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor networks (IPSN), April 2005, Los Angeles, CA.
  • R. Cristescu, B. Beferull-Lozano, M. Vetterli, D. Ganesan and J. Acimovic.On the interaction of data representation and routing in sensor networks, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, 2005.
  • E. Baccaglini, G. Barrenechea and B. Beferull-Lozano.Interaction between multiple description coding and sensor networks with finite buffers, in Proc. of IEEE International Conference on Multimedia & Expo (ICME), 2005.
  • J. Acimovic, R. Cristescu and B. Beferull-Lozano. Efficient Distributed Multiresolution processing for data gathering in sensor networks, in Proc. of  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, 2005.
  • G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Rotation-Invariant Texture retrieval with gaussianized steerable pyramids,  in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.
  • G. Tzagkarakis, B. Beferull-Lozano and P. Tsakalides, Sub-gaussian rotation-invariant features for steerable wavelet-based image retrieval, in Proc. of the International Asilomar Conference, November 2004.
  • Baltasar Beferull-Lozano, Robert L. Konsbruck and M. Vetterli, Rate-Distortion Problem for Physics Based Distributed Sensing, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), April 2004, Berkeley, CA.
  • I. Jovanovic and B. Beferull-Lozano, Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation, in Proc. of IEEE International Symposium on Information Theory (ISIT), 2004.
  • I. Jovanovic and B. Beferull-Lozano. Oversampled A/D Conversion of Non-Bandlimited Signals with Finite Rate of Innovation, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004.
  • G. Barrenechea, B. Beferull-Lozano and M. Vetterli, Lattice Sensor Networks: Capacity Limits, Optimal Routing and Robustness to Failures, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), April 2004, Berkeley, CA.
  • R. Cristescu, B. Beferull-Lozano and M. Vetterli, On Network Correlated Data Gathering, in Proc. of  INFOCOM, 2004, Hong Kong.
  • R. Cristescu, B. Beferull-Lozano and M. Vetterli, Networked Slepian-Wolf: Theory and Algorithms, in Proc. of European Workshop in Sensor Networks (EWSN), Berlin, Germany, 2004, also as Edited Volume in Springer-Verlag Lecture Notes in Computer Science, Vol. 2920.
  • R. Cristescu, B. Beferull-Lozano and M. Vetterli, Scaling Laws for Correlated Data Gathering, in Proc. of IEEE International Symposium on Information Theory (ISIT), 2004.
  • D. Ganesan, R. Cristescu and B. Beferull-Lozano, Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), 2004, Berkeley, CA.
  • B. Beferull-Lozano, R. L. Konsbruck and M. Vetterli, Rate-Distortion Problem for Physics Based Distributed Sensing, in Proc. of IEEE and ACM International Symposium on Information Processing in Sensor Networks (IPSN), May 2004, Montreal, Canada.
  • V. Velisavljevic, B. Beferull-Lozano, M. Vetterli and P. L. Dragotti, Discrete Multi-directional Wavelet Bases, in Proc. of IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
  • B. Beferull-Lozano, H. Xie and A. Ortega. Rotation-Invariant Features based on Steerable Transforms with an application to distributed image classification. In Proc. of IEEE International Conference on Image Processing (ICIP), Barcelona, September, 2003.
  • B. Beferull-Lozano, S. Diggavi. Nested trellis codes and shaping for the transmitter side-information problem, in Proc. of International Symposium on Information Theory (ISIT), 2003.
  • G. Barrenechea, B. Beferull-Lozano, A. Verma, P. L. Dragotti and M. Vetterli, Multiple Description Source Coding and Diversity Routing: A Joint Source Channel Coding Approach to Real-Time Services over Dense Networks, Proc. 13th International Packet Video Workshop, April 2003, Nantes, France.
  • Z. Cvetkovic, B.Beferull-Lozano and A. Buja. Robust phoneme discrimination using acoustic waveforms,  in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2002.
  • B. Beferull-Lozano and A. Ortega. Construction of Low Complexity Regular Quantizers for Overcomplete Expansions in R^N, in Proc. of  IEEE Data Compression Conference (DCC), Snowbird, Utah, 2001.
  • B. Beferull-Lozano and A. Ortega. Efficient Quantization for Overcomplete Expansions in R^N, in Proc. of  IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, 2001.
  • A. Ortega, B. Beferull-Lozano, N. Srinivasamurthy, H. Xie. Compression for Recognition and Content-based Retrieval, in Proc. of Eusipco International Conference, Tampere, Finland, 2000.
  • B. Beferull-Lozano and A. Ortega. Coding Techniques for Oversampled Steerable Transforms, in Proc. of thirty-third International Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 1999.
  • S. Felici, B. Beferull-Lozano, J. Martinez, G. Martin. “An Adaptative Video Compression algorithm based on Wavelet Filter Banks for Best Effort Networks”, in Proc. of SoftCOM98, International Conference on Software in Telecommunications and Computer Networks, Bari, Italy, 1998.
  • B. Beferull-Lozano, E. Bonet, V. Sos, F. Toledo. “An approach to an Orange Classifier based on the Discrete Gabor Wavelet Transform”, in Proc. of VII National Symposium on Pattern Recognition and Image Analysis, Barcelona, Spain, April 1997.