2019
DOI: 10.1007/978-3-030-25005-8_32
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Burrows-Wheeler Transform of Words Defined by Morphisms

Abstract: The Burrows-Wheeler transform (BWT) is a popular method used for text compression. It was proved that BWT has optimal performance on standard words, i.e. the building blocks of Sturmian words. In this paper, we study the application of BWT on more general morphic words: the Thue-Morse word and to generalizations of the Fibonacci word to alphabets with more than two letters; then, we study morphisms obtained as composition of the Thue-Morse morphism with a Sturmian one. In all these cases, the BWT efficiently c… Show more

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Cited by 7 publications
(5 citation statements)
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“…We note that for any standard Sturmian word s, z(s) = Θ(log |s|) [1], while the size r(s) of the RLBWT is always constant [14]. On the other hand, z(t n ) and r(t n ) are both Θ(n), i.e., logarithmic in the length |t n | (the former due to [1] as well as this work, and the latter due to [3]). This shows that Thue-Morse words are an example where the size of smallest string attractor is not a tight lower bound on the size of the smallest of the known efficiently computable dictionary compressed representation, namely, min{z(w), r(w)}.…”
Section: Introductionmentioning
confidence: 76%
“…We note that for any standard Sturmian word s, z(s) = Θ(log |s|) [1], while the size r(s) of the RLBWT is always constant [14]. On the other hand, z(t n ) and r(t n ) are both Θ(n), i.e., logarithmic in the length |t n | (the former due to [1] as well as this work, and the latter due to [3]). This shows that Thue-Morse words are an example where the size of smallest string attractor is not a tight lower bound on the size of the smallest of the known efficiently computable dictionary compressed representation, namely, min{z(w), r(w)}.…”
Section: Introductionmentioning
confidence: 76%
“…Note that such upper bounds extend some known results. In fact, as shown in [1], r bwt (τ i (a)) = Θ(i). We also remark that, since n = |τ i (a)| = 2 i , r bwt (τ i (a)) = Θ(log n).…”
Section: Theorem 2 ([21]mentioning
confidence: 89%
“…We also remark that, since n = |τ i (a)| = 2 i , r bwt (τ i (a)) = Θ(log n). Furthermore, from results provided in [1] and [18], it can be deduced that τ and θ are BW T -highly compressible. However, the lower bounds can be quite different.…”
Section: Theorem 2 ([21]mentioning
confidence: 93%
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