Now showing items 1-3 of 3

    • Deep Learning Techinques for LDPC shortening 

      Auladell i Parellada, Pol (Universitat Politècnica de Catalunya, 2020-08-03)
      Bachelor thesis
      Open Access
      Covenantee:   Karlsruher Institut für Technologie
      The idea of this project is, using Deep Learning (DL) techniques, find a way to shorten a Low-Density Parity-Check (LDPC) code. This is possible since a Bipartite Graph has a similar structure to a artificial neuron system ...
    • Graph-based techniques for compression and reconstruction of sparse sources 

      Ramírez Jávega, Francisco (Universitat Politècnica de Catalunya, 2016-01-20)
      Doctoral thesis
      Open Access
      The main goal of this thesis is to develop lossless compression schemes for analog and binary sources. All the considered compression schemes have as common feature that the encoder can be represented by a graph, so they ...
    • Low complexity schemes for high-performance MIMO transmission in quasi-static fading channels 

      Mateu Mercader, Pedro (Universitat Politècnica de Catalunya, 2016-10-18)
      Master thesis (pre-Bologna period)
      Open Access
      Research of a MIMO communications system that allows the transmission, for quasi-static fading channels with iid AWGN noise, and where the receiver knows the channel but the transmitter doesn´t, of a large number of bits ...