Table of Content

1. Coding for Reliable Digital Transmission and Storage.
2. Introduction to Algebra.
3. Linear Block Codes.
4. Important Linear Block Codes.
5. Cyclic Codes.
6. Binary BCH Codes.
7. Nonbinary BCH Codes, Reed-Solomon Codes, and Decoding Algorithms.
8. Majority-Logic Decodable Codes.
9. Trellises for Linear Block Codes.
10. Reliability-Based Soft-Decision Decoding Algorithms for Linear Block Codes.
11. Convolutional Codes.
12. Trellis-Based Decoding Algorithms for Convolutional Codes.
13. Sequential and Threshold Decoding of Convolutional Codes.
14. Trellis-Based Soft-Decision Algorithms for Linear Block Codes.
15. Concatenated Coding, Code Decomposition ad Multistage Decoding.
16. Turbo Coding.
17. Low Density Parity Check Codes.
18. Trellis Coded Modulation.
19. Block Coded Modulation.
20. Burst-Error-Correcting Codes.
21. Automatic-Repeat-Request Strategies.

Salient Features

• Mathematical background required is kept to a minimum.
• Fundamental ideas from modern algebra necessary to understand algebraic coding techniques are covered in one chapter.
• Fundamentals and philosophy of the first edition remain unchanged.
• Coverage of the fundamentals of coding and the applications of codes to the design of real error control systems.
• Coverage of all developments in coding since the first edition was published-Contains the most recent developments of coded modulation, trellises for codes, soft-decision decoding algorithms, turbo coding for reliable data transmission and other areas.
• New and revised problems-Most problems are direct applications of material covered in the text. Some more challenging problems are included for advanced students.
• Hundreds of new and revised examples-And more than 200 illustrations of code structures, encoding and decoding circuits and error performance of many important codes and error control coding systems.