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Kontekstno-neodvisne gramatike za kodiranje in stiskanje podatkov : delo diplomskega seminarja
ID Podlogar, Janez (Author), ID Todorovski, Ljupčo (Mentor) More about this mentor... This link opens in a new window

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Abstract
Stiskanje podatkov je kodiranje, katerega cilj je zapisati sporočilo v zgoščeni obliki. V tem okviru definiramo podrazred kontekstno-neodvisnih gramatik imenovan dopustne gramatike. Nizu $w$ priredimo dopustno gramatiko $G_w$, katere jezik je $\{ w \}$. Predstavimo dva razreda prirejanj dopustne gramatike nizu in za vsak razred podamo primer prirejanja. Binarno kodiranje prepisovalnih pravil dopustne gramatike $G_w$ skupaj s predstavljenim prirejanjem zagotavlja dobro zgornjo mejo odvečnosti. Takšno stiskanje podatkov je univerzalen kod, kar v splošnem zagotavlja skoraj optimalno stiskanje.

Language:Slovenian
Keywords:kontekstno-neodvisna gramatika, stiskanje podatkov, teorija informacij, stiskanje brez izgube, univerzalen kod
Work type:Final seminar paper
Typology:2.11 - Undergraduate Thesis
Organization:FMF - Faculty of Mathematics and Physics
Year:2024
PID:20.500.12556/RUL-162007 This link opens in a new window
UDC:004
COBISS.SI-ID:208307715 This link opens in a new window
Publication date in RUL:18.09.2024
Views:167
Downloads:17
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Secondary language

Language:English
Title:Context-Free Grammars for Data Encoding and Compression
Abstract:
Data compression is a form of encoding aimed at representing the message in a compact form. Within this framework, we define a subclass of context-free grammars, referred to as admissible grammars. For each string $w$, we assign an admissible grammar $G_w$, such that its language is $\{ w \}$. We present two classes of assignments of admissible grammars to a string and provide an example for each class. Binary encoding of the production rules of an admissible grammar $G_w$ together with the underlying admissible grammar assignment results in a good redundancy bound. Such data compression constitutes a universal code, generally providing near-optimal compression.

Keywords:context-free grammar, data compression, information theory, lossless compression, universal code

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