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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1007/978-3-319-50062-1_7</dc:identifier><dc:language>eng</dc:language><dc:creator>Albert, Pilar</dc:creator><dc:creator>Mayordomo, Elvira</dc:creator><dc:creator>Moser, Phillipe</dc:creator><dc:title>Bounded pushdown dimension vs lempel ziv information density</dc:title><dc:identifier>ART-2017-97819</dc:identifier><dc:description>In this paper we introduce a variant of pushdown dimension called bounded pushdown (BPD) dimension, that measures the density of information contained in a sequence, relative to a BPD automata, i.e. a finite state machine equipped with an extra infinite memory stack, with the additional requirement that every input symbol only allows a bounded number of stack movements. BPD automata are a natural real-time restriction of pushdown automata. We show that BPD dimension is a robust notion by giving an equivalent characterization of BPD dimension in terms of BPD compressors. We then study the relationships between BPD compression, and the standard Lempel-Ziv (LZ) compression algorithm, and show that in contrast to the finite-state compressor case, LZ is not universal for bounded pushdown compressors in a strong sense: we construct a sequence that LZ fails to compress significantly, but that is compressed by at least a factor 2 by a BPD compressor. As a corollary we obtain a strong separation between finite-state and BPD dimension.</dc:description><dc:date>2017</dc:date><dc:source>http://zaguan.unizar.es/record/79333</dc:source><dc:doi>10.1007/978-3-319-50062-1_7</dc:doi><dc:identifier>http://zaguan.unizar.es/record/79333</dc:identifier><dc:identifier>oai:zaguan.unizar.es:79333</dc:identifier><dc:identifier.citation>Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10010 (2017), 95-114</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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