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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06202023-152200


Tipo di tesi
Tesi di laurea magistrale
Autore
TOSONI, CARLO
URN
etd-06202023-152200
Titolo
Compressing the Burrows-Wheeler transform of finite-state automata using run-length encoding
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Prezza, Nicola
relatore Prof. Manzini, Giovanni
Parole chiave
  • encoding
  • run-length
  • Burrows-Wheeler
  • transform
  • nfa
  • compression
  • finite-state
  • automaton
Data inizio appello
21/07/2023
Consultabilità
Non consultabile
Data di rilascio
21/07/2093
Riassunto
The Burrows-Wheeler Transform (BWT) is a famous reversible string transformation invented by Michael Burrows and David Wheeler in 1994. This transform, combined with techniques such as move-to-front and run-length encoding, proved to be an excellent compressor for strings, especially when the strings tend to be repetitive. In the following years, several variants of the (BWT) have been proposed and applied to more convoluted objects; in particular, in 2021 Nicola Prezza and Nicola Cotumaccio proposed a variant of the original BWT that can be applied to arbitrary finite-state automata. In this thesis, we present a compression technique that can be applied to the Burrows-Wheeler Transform of finite-state automata. In this way, this thesis introduces a new possible strategy to compress arbitrary nondeterministic finite automata which, to our knowledge, has never been studied in the literature before.
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