Desenvolupament i anàlisi de tècniques avançades de processament digital del senyal amb èmfasi en la seva aplicació a sistemes de comunicacions i/o localització. Àrees d'interès especial són les comunicacions sense fils en tots els seus àmbits, des del personal, local i cel·lular i ampliant el seu abast fins a les comunicacions per satèl·lit i d'espai profund, així com els sistemes de localització adequats a tots aquests entorns. Les tècniques en les quals el grup acumula una experiència considerable i en què és previsible una participació més significativa en el futur són les següents: disseny de sistemes de comunicacions per satèl·lit avançats, desenvolupament de sistemes de comunicacions sense fils amb múltiples antenes en transmissió i/o recepció, desenvolupament de sistemes avançats de localització i navegació i optimització d'esquemes d’assignació de recursos per a sistemes i xarxes de comunicacions sense fils no centralitzades.

Development and analysis of advanced signal processing techniques with emphasis on their application to communication and location systems. Wireless communication networks at the personal, local and cellular levels up to satellite and deep space communications constitute areas of special interest, as well as location and navigation systems adequate to these environments. The fields in which our research group enjoys considerably experience and in which we will foreseeably be engaged in the future are the following: design of advanced satellite communication systems, development of wireless communication systems with multiple transmitting/receiving antennas, development of advanced location and navigation systems and optimization of resource allocation schemes for decentralized wireless communication systems and networks.

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 ...
  • Minimum error entropy estimation under contaminated Gaussian noise 

    López Molina, Carlos Alejandro; Cabrera Estanyol, Ferran de; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2023-10-12)
    Article
    Accés obert
    It is shown that Rényi's entropy of a Gaussian mixture with entropic index α∈(1,∞] is upper-bounded by the cluster with minimum variance. This basic idea leads to a clean worst-case formulation of the minimum error entropy ...
  • 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 ...
  • Subspace leakage in conventional and dimensionally spread null-space communications 

    Borràs Pino, Jordi; Vázquez Grau, Gregorio (2023-10)
    Article
    Accés obert
    This letter evaluates the impact of subspace leakage in conventional (single-dimension) and dimensionally spread null-space precoding schemes. This phenomenon arises when the null-space inference procedure lacks precision ...
  • Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review 

    Carrasco Ribelles, Lucía Amalia; Llanes Jurado, José; Gallego Moll, Carlos; Cabrera-Bean, Margarita; Monteagudo Zaragoza, Mònica; Violán Fors, Concepción; Zabaleta del Olmo, Edurne (2023-12)
    Article
    Accés obert
    Objective: To describe and appraise the use of artificial intelligence (AI) techniques that can cope with longitudinal data from electronic health records (EHRs) to predict health-related outcomes. Methods: This ...
  • Optimizing access demand for mMTC traffic using neural networks 

    Llobet Turró, Martí; Cabrera-Bean, Margarita; Vidal Manzano, José; Agustín de Dios, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2023-12)
    Article
    Accés obert
    Machine-type communications show unique spatial and temporal correlation properties that often lead to bursty access demand profiles. With the expected large-scale deployment of the Internet of Things (IoT), next-generation ...
  • Multiqubit time-varying quantum channels for NISQ-era superconducting quantum processors 

    Etxezarreta Martínez, Josu; Fuentes Ugartemendia, Patricio; Martí i Oliu, Antonio de; García Frias, Javier; Rodríguez Fonollosa, Javier; Crespo Bofill, Pedro M. (American Physical Society, 2023-07)
    Article
    Accés obert
    Time-varying quantum channels (TVQCs) have been proposed as a model to include fluctuations of the relaxation (T1) and dephasing times (T2). In previous works, realizations of multiqubit TVQCs have been assumed to be equal ...
  • Contribution of frailty to multimorbidity patterns and trajectories: Longitudinal dynamic cohort study of aging people 

    Carrasco Ribelles, Lucía Amalia; Cabrera-Bean, Margarita; Danés Castells, Marc; Zabaleta del Olmo, Edurne; Roso Llorach, Albert; Violán Fors, Concepción (2023-06-27)
    Article
    Accés obert
    Background: Multimorbidity and frailty are characteristics of aging that need individualized evaluation, and there is a 2-way causal relationship between them. Thus, considering frailty in analyses of multimorbidity is ...
  • 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 ...
  • IST-033914-WINSOC: D4.4 System level network performance evaluation 

    de Marinis, Enrico; Pagès Zamora, Alba Maria; Silva Pereira, Silvana; Yovanof, Gregory S.; Pediaditaki, Dimosthenis; Hasler, Martin; Alireza, Khadivi; Leonidas, Georgopoulos (2009-04-17)
    Report de recerca
    Accés restringit per acord de confidencialitat
    This document constitutes the final outcome of the activities carried out in the WINSOC WP4, along with the interactions of this WP with WP3 and WP2. Although one objective of WP4 is to provide indications to the project ...
  • IST-2000-30148 I-METRA: D3.2 Implementation of relevant algorithms 

    Rodríguez Fonollosa, Javier; Gaspa Maynou, Roger; Heikkilä, Markku J.; Kermoal, Jean Philippe; Majonen, Kari; Mestre Pons, Francesc Xavier; Pagès Zamora, Alba Maria; Pollard, Adam; Schumacher, Laurent; Wiesel, Ami; Ylitalo, Juha (2002-07-03)
    Report de recerca
    Accés obert
    This deliverable provides a high level description of the software developed within the I-METRA project following the selection reported in D3.1 "Design, Analysis and Selection of Suitable Algorithms".
  • IST-2000-30148 I-METRA: D3.1 Design, analysis and selection of suitable algorithms 

    Rodríguez Fonollosa, Javier; Gaspa Maynou, Roger; Heikkilä, Markku J.; Kermoal, Jean Philippe; Majonen, Kari; Mestre Pons, Francesc Xavier; Pagès Zamora, Alba Maria; Pollard, Adam; Schumacher, Laurent; Wiesel, Ami; Ylitalo, Juha (2002-07-03)
    Report de recerca
    Accés obert
    This deliverable contains a description of the space-time coding algorithms to be simulated within the I-METRA project. Different families of algorithms have been selected and described in this document with the objective ...

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