Synopses & Reviews
This book provides a practical introduction to the theory and practice of coding and information theory for applications in the field of electronic communications. It is written at an introductory level and assumes no prior background in coding or information theory.
FEATURES
- Presents the theory and practical applications of coding and information theory integrated with detailed examples which illustrate key concepts and enlarge the theory. Every major section of the book includes at least one example of a design-oriented problem where the theory is applied.
- balances the discussion between theory and practical applications without sacrificing one for the other
- Required mathematical developments immediately precede material on "how to" apply the methods and theory, however the traditional theorem-proof format is not used.
- Presents an overview of digital communication systems and the concept of information.
- Introduces discrete information sources and the fundamental concepts of entropy and data compression codes.
- Includes a brief introduction to the application of information theory to cryptography.
- Written in an easy-to-follow conversational style that integrates practical engineering issues through formal and conceptual discussions of mathematical issues.
- Makes extensive use of explicit examples that illustrate the methods and theory throughout the book.
Synopsis
This book provides a practical introduction to the theory and practice of coding and information theory for applications in the field of electronic communications. It is written at an introductory level and assumes no prior background in coding or information theory.
FEATURES
- Presents the theory and practical applications of coding and information theory integrated with detailed examples which illustrate key concepts and enlarge the theory. Every major section of the book includes at least one example of a design-oriented problem where the theory is applied.
- balances the discussion between theory and practical applications without sacrificing one for the other
- Required mathematical developments immediately precede material on "how to" apply the methods and theory, however the traditional theorem-proof format is not used.
- Presents an overview of digital communication systems and the concept of information.
- Introduces discrete information sources and the fundamental concepts of entropy and data compression codes.
- Includes a brief introduction to the application of information theory to cryptography.
- Written in an easy-to-follow conversational style that integrates practical engineering issues through formal and conceptual discussions of mathematical issues.
- Makes extensive use of explicit examples that illustrate the methods and theory throughout the book.
Synopsis
This book provides a practical introduction to the theory and practice of coding and information theory for application in the field of electronic communications. It is written at an introductory level and assumes no prior background in coding or information theory. While the mathematical level is detailed, it is still introductory. Through a discussion that balances theory and practical applications and abandons the traditional "theorem-proof" format, this valuable book presents an overview of digital communication systems and the concept of information. It is written in a easy-to-follow conversational style that integrates practical engineering issues through formal and conceptual discussions of mathematical issues. It also makes extensive use of explicit examples that illustrate methods and theory throughout the book. For the professional, it provides an essential hands-on head start for real-world projects and situations. An essential reference for professional engineers in the field of electronic communications.
Table of Contents
1. Discrete Sources and Entropy.
2. Channels and Channel Capacity.
3. Run-Length-Limited Codes.
4. Linear Block Error-Correcting Codes.
5. Cyclic Codes.
6. Convolutional Codes.
7. Trellis-Coded Modulation.
8. Information Theory and Cryptography.
9. Shannon's Coding Theorems.
Index.