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Título:
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Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources
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Autor/a:
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Malinowski, Simon; Artigas Roca, Javier; Guillemot, Christine; Torres Urgell, Lluís
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
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Abstract:
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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. Puncturing an entropy coded bit-stream leads
to an ambiguity at the decoder side. The decoder makes use of a correlated
version of the original message in order to remove this ambiguity. A
complete distributed source coding (DSC) scheme based on QA encoding
with side information at the decoder is presented, together with iterative
structures based on QA codes. The proposed schemes are adapted to
memoryless and first-order memory sources. Simulation results reveal
that the proposed schemes are efficient in terms of decoding performance
for short sequences compared to well-known DSC solutions using channel
codes. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions
-Data compression (Telecommunication)
-Coding theory
-Electronic data processing -- Distributed processing
-Multisensor data fusion
-Signal processing
-Tractament del senyal
-Imatges digitals
-Sistemes experts (Informàtica) |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Artículo |
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Editor:
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IEEE Press. Institute of Electrical and Electronics Engineers
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Compartir:
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