Exploració per autor "Portell de Mora, Jordi"

Ara es mostren els items 1-4 de 4

    • Compression of multibeam echosounders bathymetry and water column data 

      Martí, Aniol; Portell de Mora, Jordi; Amblàs Novellas, David; Cabrera Estanyol, Ferran de; Vila Insa, Marc; Riba Sagarra, Jaume; Mitchell, Garrett (Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-25)
      Article
      Accés obert
      Over the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of ...

    • Context-aware lossless and lossy compression of radio frequency signals 

      Martí Espelt, Aniol; Portell de Mora, Jordi; Riba Sagarra, Jaume; Mas Casals, Orestes Miquel (Multidisciplinary Digital Publishing Institute (MDPI), 2023-03-28)
      Article
      Accés obert
      We propose an algorithm based on linear prediction that can perform both the lossless and near-lossless compression of RF signals. The proposed algorithm is coupled with two signal detection methods to determine the presence ...

    • Image and radio-frequency data compression for OPS-SAT using FAPEC 

      Portell de Mora, Jordi; Martí Espelt, Aniol; Iudica, Riccardo; Evans, David; Zelenevskiy, Vladimir (2022)
      Text en actes de congrés
      Accés obert
      OPS-SAT is an ESA technology demonstration cubesat which includes a colour camera, a Software Defined Radio (SDR) receiver and a powerful ARM processor. One of the experiments executed there is FAPEC, a high-performance ...

    • Real-time lossless compression of multibeam echosounder water column data 

      Amblas, David; Portell de Mora, Jordi; Rayo, Xavier; Villafranca, Alberto G.; García-Berro Montilla, Enrique; Canals, Miquel (SARTI, 2016)
      Comunicació de congrés
      Accés obert
      Multibeam echosounders can generate vast amounts of data when recording the complete water column, which poses logistic, economic and technical challenges. Lossy data compression can reduce data size up to one or two ...