Low-Density Codes Based on Chaotic Systems for Low-Density Codes Based on Chaotic Systems for Simple Encoding

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Titel: Low-Density Codes Based on Chaotic Systems for Low-Density Codes Based on Chaotic Systems for Simple Encoding
Autoren: Kozic, Slobodan, Hasler, Martin
Publikationsjahr: 2009
Bestand: Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience
Schlagwörter: Chaos, Encoding complexity, Factor graphs, Iterative-decoding analysis, Low-density codes
Beschreibung: This paper proposes a new class of low-density generator-matrix codes (LDGM) based on chaotic dynamical systems. The codes are designed by controlling symbolic dynamics and using linear convolutional codes. Analyzing the complex structure of chaotic systems, iterative decoding is developed. The communication performance is studied, and convergence analysis of the iterative-decoding system is presented. Finally, comparison and advantages over LDGM linear block codes in terms of encoding complexity and bit-error-rate performance are described, and possible applications of our codes are discussed. ; LANOS
Publikationsart: article in journal/newspaper
Sprache: unknown
Relation: https://infoscience.epfl.ch/record/134799/files/Lowdens_published.pdf; IEEE Transactions on Circuits and Systems, part I; https://infoscience.epfl.ch/handle/20.500.14299/35968; WOS:000263479000012
DOI: 10.1109/TCSI.2008.2008433
Verfügbarkeit: https://doi.org/10.1109/TCSI.2008.2008433
https://infoscience.epfl.ch/handle/20.500.14299/35968
https://hdl.handle.net/20.500.14299/35968
Dokumentencode: edsbas.A2EEAB1E
Datenbank: BASE
Beschreibung
Abstract:This paper proposes a new class of low-density generator-matrix codes (LDGM) based on chaotic dynamical systems. The codes are designed by controlling symbolic dynamics and using linear convolutional codes. Analyzing the complex structure of chaotic systems, iterative decoding is developed. The communication performance is studied, and convergence analysis of the iterative-decoding system is presented. Finally, comparison and advantages over LDGM linear block codes in terms of encoding complexity and bit-error-rate performance are described, and possible applications of our codes are discussed. ; LANOS
DOI:10.1109/TCSI.2008.2008433