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Automata Implementation

Overview of attention for book
Cover of 'Automata Implementation'

Table of Contents

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    Book Overview
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    Chapter 1 FA Minimisation Heuristics for a Class of Finite Languages
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    Chapter 2 SEA: A Symbolic Environment for Automata Theory
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    Chapter 3 Analysis of Reactive Systems with n Timers
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    Chapter 4 Animation of the Generation and Computation of Finite Automata for Learning Software
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    Chapter 5 Metric Lexical Analysis
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    Chapter 6 State Complexity of Basic Operations on Finite Languages
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    Chapter 7 Treatment of Unknown Words
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    Chapter 8 Computing Entropy Maps of Finite-Automaton-Encoded Binary Images
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    Chapter 9 Thompson Digraphs: A Characterization
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    Chapter 10 Finite Automata Encoding Geometric Figures
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    Chapter 11 Compressed Storage of Sparse Finite-State Transducers
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    Chapter 12 An Extendible Regular Expression Compiler for Finite-State Approaches in Natural Language Processing
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    Chapter 13 Multiset Processing by Means of Systems of Finite State Transducers
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    Chapter 14 A Structural Method for Output Compaction of Sequential Automata Implemented as Circuits
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    Chapter 15 An Algorithm to Verify Local Threshold Testability of Deterministic Finite Automata
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    Chapter 16 A Taxonomy of Algorithms for Constructing Minimal Acyclic Deterministic Finite Automata
Attention for Chapter 8: Computing Entropy Maps of Finite-Automaton-Encoded Binary Images
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Chapter title
Computing Entropy Maps of Finite-Automaton-Encoded Binary Images
Chapter number 8
Book title
Automata Implementation
Published by
Springer, Berlin, Heidelberg, July 1999
DOI 10.1007/3-540-45526-4_8
Book ISBNs
978-3-54-042812-1, 978-3-54-045526-4
Authors

Mark G. Eramian

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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