Information and coding theory in computer science

Cover
Title Page
Copyright
DECLARATION
ABOUT THE EDITOR
TABLE OF CONTENTS
List of Contributors
List of Abbreviations
Preface
Section 1: Information Theory Methods and Approaches
Chapter 1 Information Theory of Cognitive Radio System
Introduction
Cognitive Radio Network Paradigms
Interference-Mitigating Cognitive Behavior: The Congnitive Radio Channel
Interference Avoiding Channel
Colloborative Cognitive Channel
Comparsions
References
Chapter 2 Information Theory and Entropies for Quantized Optical Waves in Complex Time-Varying Media
Introduction
Quantum Optical Waves in Time-Varying Media
Information Measures for Thermalized Quantum Optical Fields
Husimi Uncertainties and Uncertainty Relations
Entropies and Entropic Uncertainty Relations
Application to a Special System
Summary and Conclusion
References
Chapter 3 Some Inequalities in Information Theory Using Tsallis Entropy
Abstract
Introduction
Formulation of the Problem
Mean Codeword Length and its Bounds
Conclusion
References
Chapter 4 The Computational Theory of Intelligence: Information Entropy
Abstract
Introduction
Entropy
Intelligence: Definition and Assumptions
Global Effects
Applications
Related Works
Conclusions
References
Section 2: Block and Stream Coding
Chapter 5 Block-Split Array Coding Algorithm for Long-Stream Data Compression
Abstract
Introduction
Problems of Long-Stream Data Compression for Sensors
CZ-Array Coding
Analyses of CZ-Array Algorithm
Experiment Results
Conclusions
Acknowledgments
References
Chapter 6 Bit-Error Aware Lossless Image Compression with 2D-Layer-Block Coding
Abstract
Introduction
Related Work on Lossless Compression
Our Proposed Method
Experiments
Conclusions
Acknowledgments
References
Chapter 7 Beam Pattern Scanning (BPS) versus Space-Time Block Coding (STBC) and Space-Time Trellis Coding (STTC)
Abstract
Introduction
Introduction of STBC, STTC and BPS Techniques
BPS versus STBC, STTC
Simulations
Conclusions
References
Chapter 8 Partial Feedback Based Orthogonal Space-Time Block Coding With Flexible Feedback Bits
Abstract
Introduction
Proposed Code Construction and System Model
Linear Decoder at the Receiver
Feedback Bits Selection and Properties
Simulation Results
Conclusions
References
Chapter 9 Rateless Space-Time Block Codes for 5G Wireless Communication Systems
Abstract
Introduction
Concept of Rateless Codes
Rateless Coding and Hybrid Automatic Retransmission Query
Rateless Codes’ Literature Review
Rateless Codes Applications
Motivation to Rateless Space-Time Coding
Rateless Space-Time Block Code for Massive MIMO Systems
Conclusion
References
Section 3: Lossless Data Compression
Chapter 10 Lossless Image Compression Technique Using Combination Methods
Abstract
Introduction
Literature Review
The Proposed Method
Conclusions
Future Work
References
Chapter 11 New Results in Perceptually Lossless Compression of Hyperspectral Images
Abstract
Introduction
Data and Approach
Experimental Results
Conclusion
Acknowledgements
References
Chapter 12 Lossless compression of digital mammography using base switching method
Abstract
Introduction
Base-Switching Algorithm
Proposed Method
Results
Conclusions
References
Chapter 13 Lossless Image Compression Based on Multiple-Tables Arithmetic Coding
Abstract
Introduction
The MTAC Method
Experiments
Conclusions
References
Section 4: Information and Shannon Entropy
Chapter 14 Entropy—A Universal Concept in Sciences
Abstract
Introduction
Entropy as a Qualificator of the Configurational Order
The Concept of Entropy in Thermodynamics and Statistical Physics
The Shannon-Like Entropies
Conclusions
Appendix
Notes
References
Chapter 15 Shannon entropy: Axiomatic Characterization and Application
Introduction
Shannon Entropy: Axiomatic Characterization
Total Shannon Entropy and Entropy of Continuous Distribution
Application: Differential Entropy and Entropy in Classical Statistics
Conclusion
References
Chapter 16 Shannon Entropy in Distributed Scientific Calculations on Mobiles Ad-Hoc Networks (MANETs)
Abstract
Introduction
Measuring the Problem
Simulation
Conclusion
References
Chapter 17 Advancing Shannon Entropy for Measuring Diversity in Systems
Abstract
Introduction
Renormalizing Probability: Case-Based Entropy and the Distribution of Diversity
Case-Based Entropy of a Continuous Random Variable
Results
Using Cc to Compare and Contrast Systems
Conclusion
Acknowledgments
References
Index
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