Information Theory: 50 Years of Discovery / Edition 1 available in Hardcover
- Pub. Date:
"In 1948 Claude Shannon published the paper that single-handedly started the field of information theory, "The Mathematical Theory of Communication." This groundbreaking paper laid the foundation for virtually all aspects of modern-day communications.
Now INFORMATION THEORY celebrates the discovery of this dynamic field with a major collection of 25 tutorial articles spanning the last 50 years. With over 3,000 references, this book is an ideal resource for industry researchers, practicing engineers, and graduate students in communications, signal processing, and computing.
Compiled by the editors of the IEEE Transactions on Information Theory, these articles have been written by leaders in the field, providing insightful introductions and useful summaries of 50 years of work on the theory and practice of
• Data compression
• Error correction
• Modulation and coding
• Detection and estimation
• Shannon theory
• Signal processing.
INFORMATION THEORY comes complete with a CD-ROM that includes the author, subject, and transaction indexes of the IEEE Transactions in Information Theory Digital Library. The CD-ROM also includes a complete listing of, and hyperlinks to, all papers from IEEE Transactions on Information Theory since its inception in 1953."
IEEE Information Theory Society
|Product dimensions:||8.68(w) x 11.04(h) x 1.81(d)|
About the Author
About the Editors Sergio Verdu is professor of electrical engineering at Princeton University. He has served as associate editor for the IEEE Transactions on Information Theory, and has served as president of the IEEE Information Theory Society. Dr. Verdu has also received the National Science Foundation Presidential Young Investigator Award, the IEEE Donald G. Fink Prize Paper Award, and a Golden Jubilee Paper Award from the Information Theory Society. He is the author of Multiuser Detection (Cambridge University Press, 1998), and his research interests include information theory and multiuser communication.
Steven W. McLaughlin is associate professor in the School of ECE at Georgia Institute of Technology. From 1995 to 1999, Dr. McLaughlin served as the publications editor of the IEEE Transactions on Information Theory. He holds 16 U.S. patents in modulation codes for magnetic and optical recording, and his research interests include coding for constrained channels, signal processing, coding for high-density magnetic and optical recording channels, and turbo codes. In 1997 he received both the Presidential Early Career Award for Scientists and Engineers and the National Science Foundation Career Award.
Table of Contents
Preface (S. McLaughlin).
Guest Editorial (S. Verdu).
On the Role of Pattern Matching in Information Theory (A. Wyner, et al.).
Fifty Years of Shannon Theory (S. Verdu).
The Interactions Between Ergodic Theory and Information Theory (P. Shields).
Information-Theoretic Image Formation (J. O'Sullivan, et al.).
Universal Prediction (N. Merhav & M. Feder).
Reliable Communication Under Channel Uncertainty (A. Lapidoth & P. Narayan).
Learning Pattern ClassificationA Survey (S. Kulkarni, et al.).
Zero-Error Information Theory (J. Korner & A. Orlitsky).
Detection of Stochastic Processes (T. Kailath & H. Poor).
Codes for Digital Recorders (K. Immink, et al.).
Statistical Inference Under Multiterminal Data Compression (T. Han & S. Amari).
Quantization (R. Gray & D. Neuhoff).
Modulation and Coding for Linear Gaussian Channels (G. Forney & G. Ungerboeck).
Information Theory and Communication Networks: An Unconsummated Union (A. Ephremides & B. Hajek).
Data Compression and Harmonic Analysis (D. Donoho, et al.).
Association Schemes and Coding Theory (P. Delsarte & V. Levenshtein).
The Method of Types (I. Csiszar).
Comments on Broadcast Channels (T. Cover).
Applications of Error-Control Coding (D. Costello, et al.).
The Art of Signaling: Firty Years of Coding Theory (A. Calderbank).
Algebraic-Geometry Codes (I. Blake, et al.).
Fading Channels: Information-Theoretic and Communications Aspects (E. Biglieri, et al).
Lossy Source Coding (T. Berger & J. Gibson).
Quantum Information Theory (C. Bennett & P. Shor).
The Minimum Description Length Principle in Coding and Modeling (A. Barron, et al.).