Browsing by Subject "Data compression (Telecommunication)"

Now showing items 1-20 of 21

    • Adaptive generalized space shift keying (GSSK) modulation for MISO channels: a new method for high diversity and coding gains 

      Ntontin, Konstantinos; Di Renzo, Marco; Pérez Neira, Ana Isabel; Verikoukis, Christos (2012)
      Conference report
      Open Access
      Generalized Space Shift Keying (GSSK) modulation is a recently proposed low-complexity concept for Multiple-Input- Multiple-Output (MIMO) wireless systems. GSSK modulation is a generalized version of Space Shift Keying ...

    • Compressió geomètrica de núvols de punts amb MPEG G-PCC 

      Reguan Font, Roger (Universitat Politècnica de Catalunya, 2021-06)
      Bachelor thesis
      Open Access
      MPEG G-PCC (Geometric Point Cloud Compression) uses technologies like octrees, rasterization and arithmetic coding for compression for non-projectable 3D point clouds. A reference implementation is available as G-PCC Test ...

    • Creación de infraestructura y aplicaciones sobre tecnología HyperLedger Fabric 

      López Marchante, Sergi (Universitat Politècnica de Catalunya, 2023-05)
      Bachelor thesis
      Open Access
      Blockchain is a technology that enables secure information recording and transfer without the need for intermediaries, thanks to its decentralized design and use of advanced cryptography. As a particular case, this project ...

    • Data compression for remote radio head 

      Mateu Cuadrat, Jaume (Universitat Politècnica de Catalunya, 2018-07-25)
      Bachelor thesis
      Restricted access - confidentiality agreement

    • Deep learning for ultrasound data-rate reduction 

      Sainz Lorenzo, Yeray (Universitat Politècnica de Catalunya, 2019-02-19)
      Master thesis
      Open Access
      US devices generate a set of signals that are carried from a transducer probe to a computer for further processing in order to obtain images. Those signals are transmitted between both ends through a set of cables, making ...

    • Depth based image segmentation 

      Morera Trujillo, Jordi (Universitat Politècnica de Catalunya, 2017-10-18)
      Bachelor thesis
      Open Access
      En este trabajo de fin de grado se exploran distintas técnicas de aprendizaje profundo (deep learning) con el objetivo de obtener una segmentación de imagen basada en criterios de uniformidad. Estudiamos varios algoritmos ...

    • Diseño e implementación de un sistema de deep learning para la detección de covid por la tos con aumento de datos 

      Marchan Del Pino, David (Universitat Politècnica de Catalunya, 2022-05-23)
      Bachelor thesis
      Open Access
      In recent years, COVID-19 has had a major impact on today's society and has not gone unnoticed in the world of deep learning. Cases can now be studied using image analysis or in the world of audio analysis. This report ...

    • Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources 

      Malinowski, Simon; Artigas Roca, Javier; Guillemot, Christine; Torres Urgell, Lluís (IEEE Press. Institute of Electrical and Electronics Engineers, 2009-10-01)
      Article
      Open Access
      This correspondence considers the use of punctured quasi-arithmetic (QA) codes for the Slepian–Wolf problem. These entropy codes are defined by finite state machines for memoryless and first-order memory sources. ...

    • FAPEC integration as an HDF5 filter 

      Dueñas Pedrosa, Sergi (Universitat Politècnica de Catalunya, 2016-07)
      Master thesis (pre-Bologna period)
      Open Access
      In this work we propose a solution to some of the problems found in supercomputing environments by combining an extremely efficient, standard, open-source data manager suite with a high-performance data compressor. We do ...

    • Image data compression with hierarchical pixel averaging and fully adaptive prediction error coder 

      Iudica, Riccardo; Artigues, Gabriel; Portell, Jordi; García-Berro Montilla, Enrique (2015-06-04)
      Article
      Open Access
      The fully adaptive prediction error coder (FAPEC) is an entropy coder that typically offers better results than the adaptive Rice compressor. It uses basic preprocessing stages such as delta preprocessing, but it can also ...

    • Implementation of FAPEC decorrelation stages for IQ and water column data 

      Martí Espelt, Aniol (Universitat Politècnica de Catalunya, 2021-07-08)
      Bachelor thesis
      Open Access
      Recent technological advances have resulted in massive data collection, also in hazard environments such as the sea or space. In these situations, both computing power and downlink bandwidth are quite limited. For this ...

    • Mechanisms for representation and verification of consents on genomic information 

      Quispe Ccuno, Jeniffer Reyna (Universitat Politècnica de Catalunya, 2023-09-13)
      Master thesis
      Open Access
      The purpose of this master thesis is to obtain a structure of a genomic consent capable of being dynamic, secure, and optimal that can be presented as a prototype web application that could then be used to help institutions ...

    • NDA waveform estimation in the low-SNR regime 

      López Salcedo, José Antonio; Vázquez Grau, Gregorio (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERING INC, 2007-12)
      Article
      Open Access
      This correspondence addresses the problem of nondata-aided waveform estimation for digital communications. Based on the unconditional maximum likelihood criterion, the main contribution of this correspondence is the ...

    • Optimal pilot design and power control in correlated MISO links 

      Pastore, Adriano; Rodríguez Fonollosa, Javier (2012)
      Conference report
      Restricted access - publisher's policy
      We study the maximization of an achievable ergodic rate expression of a multiple-input single-output (MISO) channel where both ends are cognizant of the same erroneous estimate of the current fading state, yet they have ...

    • 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)
      Conference lecture
      Open Access
      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 ...

    • Robust LPC vector quantization based on kohonen's design algorithm 

      Rodríguez Fonollosa, José Adrián; Masgrau Gómez, Enrique José; Moreno Bilbao, M. Asunción (Elsevier, 1990)
      Conference report
      Open Access

    • Specific distance for feature selection in speech recognition 

      Lleida Solano, Eduardo; Nadeu Camprubí, Climent; Mariño Acebal, José Bernardo; Monte Moreno, Enrique; Moreno Bilbao, M. Asunción (Springer, 1990)
      Conference report
      Open Access
      In this paper, the use of a specific metric as a feature selection step is investigated. The feature selection step tries to model the correlation among adjacent feature vectors and the variability of the speech. We propose ...

    • Study of the video transport in ultra high definition format 

      Serra Font, Anna (Universitat Politècnica de Catalunya, 2015-09-14)
      Master thesis (pre-Bologna period)
      Restricted access - confidentiality agreement

    • Time-Sensitive egocentric image retrieval for finding objects in Lifelogs 

      Reyes Rodriguez, Cristian (Universitat Politècnica de Catalunya, 2016)
      Bachelor thesis
      Open Access
      Covenantee:   Dublin City University
      This work explores diverse practices for conducting an object search from large amounts of egocentric images taking into account their temporal information. The application of this technology is to identify where personal ...

    • Use of Turbo Codes with Low-Rate Convolutional Constituent Codes in Fingerprinting Scenarios 

      Tomás Buliart, Joan; Gómez Muro, Ana; Fernández Muñoz, Marcel; Soriano Ibáñez, Miguel (IEEE, 2011)
      Conference lecture
      Restricted access - publisher's policy
      We discuss the use of turbo codes in fingerprinting schemes. More precisely, we present a family of turbo codes that are secure against attacking coalitions of size 2. This family is build upon a class of low-rate convolutional ...