Enviaments recents

  • Correlation study between the performance in different engineering courses and project-based courses 

    Bermejo Broto, Sandra; Bragós Bardia, Ramon; Rey Micolau, Francesc; Pegueroles Vallés, Josep R. (NTNU SEED, 2023)
    Comunicació de congrés
    Accés obert
    In a previous study, already published (Bragós, 2022), we analyzed the correlation between the University access mark to the engineering studies with the grades obtained in projectbased courses and in non-project-based ...
  • Higher-order link prediction via learnable maximum mean discrepancy 

    Karanikolas, Georgios V.; Pagès Zamora, Alba Maria; Giannakis, Georgios B. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Text en actes de congrés
    Accés obert
    Higher-order link prediction (HOLP) seeks missing links capturing dependencies among three or more network nodes. Predicting high-order links (HOLs) can for instance reveal hyperlinks in the structure of drug substance and ...
  • Data driven joint sensor fusion and regression based on geometric mean squared error 

    López Molina, Carlos Alejandro; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Comunicació de congrés
    Accés obert
    This paper explores the problem of estimating a temporal series measured from multiple independent sensors with unequal and stationary measurement errors with unknown variances. By formulating the data fusion problem as a ...
  • Base station on/off strategies for wireless networks powered with energy harvesting sources 

    Rubio López, Javier; Pascual Iserte, Antonio; Vidal Manzano, José (2015)
    Comunicació de congrés
    Accés obert
    In this paper, we present a procedure for switching on and off base stations (BSs) that are powered with solar panels and have finite batteries. In the scenario under consideration it is considered that the BSs are placed ...
  • Sparse-aware approach for covariance conversion in FDD systems 

    López Molina, Carlos Alejandro; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    This paper proposes a practical way to solve the Uplink-Downlink Covariance Conversion (UDCC) problem in a Frequency Division Duplex (FDD) communication system. The UDCC problem consists in the estimation of the Downlink ...
  • A test for conditional correlation between random vectors based on weighted u-statistics 

    Vila Insa, Marc; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Comunicació de congrés
    Accés obert
    This article explores U-Statistics as a tool for testing conditional correlation between two multivariate sources with respect to a potential confounder. The proposed approach is effectively an instance of weighted ...
  • Energy driven transmission schemes for coexistence between HTC and MTC 

    Liesegang Maria, Sergi; Pascual Iserte, Antonio; Muñoz Medina, Olga (VDE Verlag, 2021)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Coexistence between human-type and machine-type communications is essential in future cellular networks. The former demands high data rates whereas long battery lifetimes are crucial for the latter. In this paper, we ...
  • Hierarchical beamforming in random access channels 

    Agustín de Dios, Adrián; Cabrera-Bean, Margarita; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Comunicació de congrés
    Accés obert
    Managing a massive number of terminals in a contention-based multiple access is challenging due to its intrinsic limited efficiency. For example, in the random access channel considered in LTE-A and 5G NR, Base Station ...
  • A multi-armed bandit model for non-stationary wireless network selection 

    Martínez Casanovas, Lluís; Cabrera-Bean, Margarita; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    The amount of wireless networks and technologies such as 5G have been rapidly increasing in the last years. With this growth in number it has become more relevant to be able to select the best network with the goal of ...
  • Correlated binary data for machine learning 

    Llobet Turró, Martí; Cabrera-Bean, Margarita (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    Data sets containing instances that are assigned values by an ensemble of annotators of unknown accuracy are becoming increasingly common. Binary, potentially correlated data are frequent in a number of disciplines, and ...
  • Affine projection subspace tracking 

    Vila Insa, Marc; López Molina, Carlos Alejandro; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Comunicació de congrés
    Accés obert
    In this paper, we consider the problem of estimating and tracking an R-dimensional subspace with relevant information embedded in an N-dimensional ambient space, given that N>>R. We focus on a formulation of the signal ...
  • Variance processing for stable boundary-layer height estimation using backscatter lidar data: A discussion 

    Muñoz Porcar, Constantino; Silva, Marcos Paulo Aráujo da; Saeed, Umar; Rey Micolau, Francesc; Pay Pérez, M. Teresa; Rocadenbosch Burillo, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    In this paper we present a method for estimating the height of the nocturnal stable boundary layer by using lidar measurements and a single radiosonde for unambiguous initial guess. The method relies on the correlation ...

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