• Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models 

      Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (Peer reviewed; Journal article, 2023)
      An online topology estimation algorithm for nonlinear structural equation models (SEM) is proposed in this paper, addressing the nonlinearity and the non-stationarity of real-world systems. The nonlinearity is modeled using ...
    • Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs 

      Money, Rohan Thekkemarickal; Krishnan, Joshin P.; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2023)
      Online topology estimation of graph-connected time series is challenging in practice, particularly because the dependencies between the time series in many real-world scenarios are nonlinear. To address this challenge, we ...
    • Spectrum cartography using adaptive radial basis functions: Experimental validation 

      Idsøe, Henning; Hamid, Mohamed; Jordbru, Thomas; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar (EEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);18, Journal article; Peer reviewed, 2017)
      In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative ...
    • Stochastic Graph Filtering Under Asymmetric Links in Wireless Sensor Networks 

      Ben Saad, Leila; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
      Wireless sensor networks (WSN s) are often characterized by random and asymmetric packet losses due to the wireless medium, leading to network topologies that can be modeled as random, time-varying and directed graphs. ...
    • Topology Design to Increase Network Lifetime in WSN for Graph Filtering in Consensus Processes 

      Ben Saad, Leila; Weerasinghe, Thilina Nuwan; Beferull-Lozano, Baltasar (European Signal Processing Conference (EUSIPCO);25 2017, Journal article; Peer reviewed, 2017)
      Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. ...
    • Topology design to reduce energy consumption of distributed graph filtering in WSN 

      Ben Saad, Leila; Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2017)
      The large number of nodes forming current sensor networks has made essential to introduce distributed mechanisms in many traditional applications. In the emerging field of graph signal processing, the distributed mechanism ...
    • A Trainable Approach to Zero-delay Smoothing Spline Interpolation 

      Moreno, Emilio Ruiz; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2023)
      The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zerodelay response; that is, the smooth signal must ...
    • Underlay Device-to-Device Communications on Multiple Channels 

      Elnourani, Mohamed; Hamid, Mohamed; Romero, Daniel; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2018)
      Since the spectral efficiency of wireless communications is already close to its fundamental bounds, a significant increase in spatial efficiency is required to meet future traffic demands. Device-to-device (D2D) communications ...