Move-to-Front, Distance Coding, and Inversion Frequencies Revisited (Contributo in atti di convegno)

Type
Label
  • Move-to-Front, Distance Coding, and Inversion Frequencies Revisited (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • [1] Manzini G., [2] Gagie T. (2007)
    Move-to-Front, Distance Coding, and Inversion Frequencies Revisited
    in 18th Annual Symposium on Combinatorial Pattern Matching, CPM 2007, London, ON, Canada, 9-11 July 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • [1] Manzini G., [2] Gagie T. (literal)
Pagina inizio
  • 71 (literal)
Pagina fine
  • 82 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4580 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • http://dx.doi.org/10.1007/978-3-540-73437-6_10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • [1] CNR-IIT, Pisa, Italy; [2] Dipartimento di Scienze e Tecnologie Avanzate, Università del Piemonte Orientale, Italy (literal)
Titolo
  • Move-to-Front, Distance Coding, and Inversion Frequencies Revisited (literal)
Abstract
  • Move-to-Front, Distance Coding and Inversion Frequencies are three simple and effective techniques used to process the output of the Burrows-Wheeler Transform. In this paper we provide the first complete comparative analyses of these techniques, establishing upper and lower bounds on their compression ratios. We describe simple variants of these three techniques that compress any string up to a constant factor of its kth-order empirical entropy for any k >= 0. At the same time we prove lower bounds for the compression of arbitrary strings which show that these variants are nearly optimal. The bounds we establish are \"entropy-only\" bounds in the sense that they do not involve non-constant overheads. Our analyses provide new insights into the inner workings of these techniques, partially explain their good behavior in practice, and suggest strategies for improving their performance. (literal)
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