Theory and Applications in Multimedia Compression, Encryption, and Modeling
First Statement of Responsibility
by Olu Lafe.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boston, MA
Name of Publisher, Distributor, etc.
Springer US : Imprint : Springer
Date of Publication, Distribution, etc.
2000
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(192 pages)
SERIES
Series Title
Multimedia systems and applications series, 16.
CONTENTS NOTE
Text of Note
1 Introduction --;1.1 What are Cellular Automata? --;1.2 History of Cellular Automata --;1.3 Multi-State CA Example --;1.4 Cellular Automata Models --;1.5 Challenges in Conventional CA Modeling --;1.6 Cellular Automata Transforms --;1.7 Potential Applications of CAT --;2 Cellular Automata Transforms --;2.1 Nomenclature --;2.2 Cellular Automata Transform Bases --;2.3 Important Keys in CA Transforms --;2.4 Non-Overlapping and Overlapping CAT Filters --;2.5 CAT Sub-Band Coding --;2.6 Smoothness of Sub-Band CA Basis Functions --;3 Cellular Automata Bases --;3.1 Dual-Coefficient Basis Functions --;3.2 Multi-Coefficient CA Basis Functions --;3.3 S-Bases --;4 Multimedia Compression --;4.1 Introduction --;4.2 Encoding Strategy --;4.3 Digital Image Compression --;4.4 Audio Compression --;4.5 Video Compression --;4.6 Concluding Remarks --;5 Data Encryption --;5.1 Introduction --;5.2 Approach I --;5.3 Approach II --;5.4 Concluding Remarks --;6 Solution of Differential and Integral Equations --;6.1 Introduction --;6.2 Traditional Cellular Automata Modeling --;6.3 CA Transform Approach --;6.4 Integral Equations.
SUMMARY OR ABSTRACT
Text of Note
Cellular Automata Transforms describes a new approach to using the dynamical system, popularly known as cellular automata (CA), as a tool for conducting transforms on data.