Doctorat en Teoria del Senyal i Comunicacions: Enviaments recents

Ara es mostren els items 13-24 de 459

    • UWB microwave functional brain activity extraction for Parkinson's disease monitoring 

      Akazzim, Youness; Palacios Arias, César Augusto; Jofre Cruanyes, Marc; El Mrabet, Otman; Romeu Robert, Jordi; Jofre Roca, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-31)
      Article
      Accés obert
      Microwaves have proven their imaging capabilities to visualize the body composition for medical applications, thanks to their penetration inside biological structures. In this context, this article presents a novel methodology ...

    • Microwave contactless current-sensing for live/dead differentiation of single bioparticles on a microfluidic platform 

      Palacios Arias, César Augusto; Jofre Cruanyes, Marc; Jofre Cruanyes, Lluís; Romeu Robert, Jordi; Jofre Roca, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2023-08-02)
      Article
      Accés restringit per política de l'editorial
      The combination of microwave and microfluidic technologies enables the creation of efficient platforms to rapidly quantify live/dead bioparticles in industrial processes, biomedical research and environmental monitoring ...

    • Digital linearization of wideband envelope tracking power amplifiers for mobile terminals 

      Li, Wantao; Montoro López, Gabriel; Gilabert Pinal, Pere Lluís (IEEE Microwave Theory and Techniques Society, 2023-01)
      Article
      Accés obert
      This article presents a low-complexity linearization method to compensate for multisource nonlinear distortion in wideband envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed ...

    • A fully-focused SAR omega-K closed-form algorithm for the Sentinel-6 radar altimeter: methodology and applications 

      Hernández Burgos, Sergi; Gibert Gutiérrez, Ferran; Broquetas Ibars, Antoni; Kleinherenbrink, Marcel; Flores De la Cruz, Adrián; Gómez Olivé, Adrià; García Mondéjar, Albert; Roca Aparici, Mònica (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
      Article
      Accés obert
      The 2-D frequency-based omega-K method is known to be a suitable algorithm for fully focused SAR (FF-SAR) radar altimeter processors, as its computational efficiency is much higher than equivalent time-based alternatives ...

    • Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements 

      Gil Díaz, Cristina; Sicard, Michaël; Comerón Tejero, Adolfo; Oliveira, Daniel Camilo Fortunato dos Santos; Muñoz Porcar, Constantino; Rodríguez Gómez, Alejandro Antonio; Lewis, Jasper R.; Welton, Ellsworth J.; Lolli, Simone (European Geosciences Union (EGU), 2024-02-20)
      Article
      Accés obert
      In this paper a statistical study of cirrus geometrical and optical properties based on 4 years of continuous ground-based lidar measurements with the Barcelona (Spain) Micro Pulse Lidar (MPL) is analysed. First, a review ...

    • Deep Learning-based algorithm for optimizing relay user equipment activation in 5G cellular networks 

      Hernández Carlón, Juan Jesús; Pérez Romero, Jordi; Sallent Roig, Oriol; Vilà Muñoz, Irene; Casadevall Palacio, Fernando José (Institute of Electrical and Electronics Engineers (IEEE), 2023-10-27)
      Article
      Accés obert
      This paper addresses the problem of optimally using the relay capabilities of user equipment (UE) to augment the radio access network (RAN) in 5G deployments and beyond. This can be particularly useful in coverage constrained ...

    • ENN: a neural network with DCT adaptive activation functions 

      Martínez Gost, Marc; Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A. (Institute of Electrical and Electronics Engineers (IEEE), 2024-02-01)
      Article
      Accés obert
      The expressiveness of neural networks highly depends on the nature of the activation function, although these are usually assumed predefined and fixed during the training stage. Under a signal processing perspective, in ...

    • On the application of Q-learning for mobility load balancing in realistic vehicular scenarios 

      Trullenque Ortiz, Martín; Sallent Roig, Oriol; Camps Mur, Daniel; Escrig, Josep; Nasreddine, Jad; Pérez Romero, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      One of the applications where fifth generation (5G) networks are expected to have a greatest impact is vehicular-to-everything (V2X) communications. The exchange of data among different vehicles on the network will make ...

    • A survey of 5G-based positioning for industry 4.0: state of the art and enhanced techniques 

      Muthineni, Karthik; Artemenko, Alexander; Vidal Manzano, José; Nájar Martón, Montserrat (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      The fifth generation (5G) mobile communication technology integrates communication, positioning, and mapping functionalities as an in-built feature. This has drawn significant attention from industries owing to the capability ...

    • Simple randomized strategies for low-rank matrix compression 

      López Menchón, Héctor; Molina Burgués, Robert; Heldring, Alexander; Úbeda Farré, Eduard; Rius Casals, Juan Manuel (Universidad de Sevilla, 2023)
      Text en actes de congrés
      Accés obert
      We propose a randomized Pseudo Skeleton (or CUR) approximation method to compress the H-matrices of linear systems that arise in the discretization of integral equations in electromagnetic scattering. This method is ...

    • Improvements in randomized matrix compression methods for numerical analysis of antennas and scatterers 

      López Menchón, Héctor; Heldring, Alexander; Úbeda Farré, Eduard; Rius Casals, Juan Manuel (Luis Landesa-Porras, 2023)
      Comunicació de congrés
      Accés obert
      We propose a randomized Pseudo Skeleton (or CUR) Approximation method to compress the H-matrices of linear systems that arise in the discretization of integral equations in electromagnetic scattering. This method is highly ...

    • Land, jet stream, and other atmospheric effects on burned area estimation during the South Asian heatwave of 2022 

      Irawan, Amir Mustofa; Vall-Llossera Ferran, Mercedes Magdalena; López Martínez, Carlos; Camps Carmona, Adriano José; Chaparro Danon, David; Portal González, Gerard; Pablos Hernández, Miriam; Alonso González, Alberto (2024-04)
      Article
      Accés obert
      Understanding the key variables that characterise fire propagation is important for a better estimation of fire events and their impacts. This study uses machine learning combined with satellite remote sensing and atmospheric ...