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Analysis of LDPC and Repeat-Accumulate Codes

Georgiopoulos Theodoros

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/235B5ED5-B84A-4BC6-B5A3-29A48E9B78FC
Έτος 2016
Τύπος Διπλωματική Εργασία
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά Θεόδωρος Γεωργιόπουλος, "Analysis of LDPC and Repeat-Accumulate Codes", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016 https://doi.org/10.26233/heallink.tuc.66057
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Περίληψη

Information Theory was created in 1948, by Claude Shannon. Besides other contributions, Shannon defined the channel capacity and proved that it can be achieved arbitrarily well via channel coding. Since then, both theory and practice for point-to-point communications have been constantly developed, up to the point that, nowadays, techniques for practically attaining channel capacity exist. This has been made possible by the invention of powerful coding methods, such as turbo codes and low-density parity-check (LDPC) codes. In this thesis, we focus on LDPC codes, which were invented by Robert Gallager in the early Sixties. At that time, the limited available computational power made the use of LDPC codes impractical and prevented scientists from fully understanding their potential. After the introduction of irregular LDPC codes and of practical performance analysis tools in the late nineties, LDPC codes became the most powerful error correcting codes, enabling reliable transmissions at rates close to the channel capacity for a number of communication channels.

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