The promise of channel capacity. Channel coding - basic facts. The discrete memoryless channel. Optimum decoding (MAP, ML) for the AWGN channel and the discrete memoryless channel. Linear block codes. Cyclic block codes. Convolutional codes. Turbo codes und iterative decoding. Graph-based decoding techniques. Performance of codes. Information-theoretic considerations.
Lecture notes for this course are available at the "Graphischen Zentrum an der TU Wien", Wiedner Hauptstraße 8 - 10, 1040 Wien (EG, roter Bereich).
Shu Lin and D. J. Costello, Jr., Error Control Coding - Fundamentals and Applications. Pearson Prentice Hall, Upper Saddle River, NJ, 2004 R. E. Blahut, Algebraic Codes for Data Transmission. Cambridge University Press, Cambridge, UK, 2003 T. M. Cover and J. A. Thomas, Elements of Information Theory. Wiley, New York, 1991 R. G. Gallager, Information Theory and Reliable Communication. Wiley, New York, 1968