Information, Coding and Mathematics is a classic reference for both professional and academic researchers working in error-correction coding and decoding, Shannon theory, cryptography, digital communications, information security, and electronic engineering.

1. A Computational Theory of Surprise.- 2. Dynamic Key Distribution Using MDS Codes.- 3. Worst-Case Mutual Information Trajectories in Concatenated Codes with Asymptotic Interleavers.- 4. Results to get Maximal Quasihermitian Curves. New possibilities for AG Codes.- 5. On Asymmetric Error Detection with Feedback.- 6. Cryptanalysis of Block Ciphers and Weight Divisibility of Some Binary Codes.- 7. Sloppy Alice attacks! Adaptive chosen ciphertext attacks on the McEliece Public-Key Cryptosystem.- 8. Reducible Rank Codes and Applications to Cryptography.- 9. On a Boolean Maximization Problem.- 10. On the Security of the McEliece Public-Key Cryptosystem.- 11. Performance of MIMO Space Time-Coding with Discrete Modulations.- 12. Coding for Slow-Frequency-Hop Transmission: Variations on a Theme of McEliece.- 13. On Graph Constructions for LDPC Codes by Quasi-Cyclic Extension.- 14. On the Channel Memory-Diversity Tradeoff in Communication Systems.- 15. Duality, Dirty Paper Coding, and Capacity for Multiuser Wireless Channels.- 16. Stability Analysis of the Turbo Decoding Algorithm Using Max-Log-MAP.- 17. Recursive List Decoding for Reed-Muller Codes and their Subcodes.- 18. Adaptive Soft-Decision Decoding In Two Dimensions.- 19. On the Theory of Linear Trellises.- 20. Coding Over Graphs.- 21. On Approaching the Capacity of Finite-State Intersymbol Interference Channels.