Theory of Information and Coding
Spend $50 to get a
Edition: 2004 (Student Manual, Study Guide, etc.)
This item qualifies for FREE shipping.
30 day, 100% satisfaction guarantee!
Rush Rewards U
You have reached 400 XP and carrot coins. That is the daily max!
This work is a self-contained introduction to all basic results in the theory of information and coding. It includes examples and several hundred problems for solution, for readers with some prior knowlege of probability and linear algebra.
Copyright year: 2004
Publisher: Cambridge University Press
Publication date: 7/15/2004
Size: 6.50" wide x 9.25" long x 1.00" tall
1. Entropy and mutual information; 2. Discrete memoryless channels and their capacity-cost functions; 3. Discrete memoryless sources and their rate-distortion functions; 4. The Gaussian channel and source; 5. The source-channel coding theorem; 6. Survey of advanced topics for part I; 7. Linear codes; 8. BCH Goppa, and related codes; 9. Convolutional codes; 10. Variable-length source coding; 11. Survey of advanced topics for part II.