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Contents
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| Week 1: |
Introduction, measure of information, entropy. |
| Week 2: |
Lossless source coding: Variable length source coding. |
| Week 3: |
Lossless source coding: Huffman coding, Lempel-Ziv algorithm. |
| Week 4: |
Lossy data compression. |
| Week 5: |
Channel models and channel capacity. |
| Week 6: |
Channel models and channel capacity (Cont.) |
| Week 7: |
Channel reliability function, channel cutoff rate. |
| Week 8: |
Midterm exam, introduction to error control coding. |
| Week 9: |
Linear block codes. |
| Week 10: |
Hard and soft decision of linear block codes. Block and bit error probability of linear block codes. |
| Week 11: |
Cyclic codes; BCH and RS codes. |
| Week 12: |
Convolutional codes. |
| Week 13: |
Decoding of convolutional codes: Viterbi algorithm. |
| Week 14: |
Probability of error for convolutional codes. Introduction to Turbo coding and iterative decoding. |
| Week 15*: |
- |
| Week 16*: |
Fınal exam. |
| Textbooks and materials: |
Digital Communications, J. G. Proakis, M. Salehi, McGraw-Hill, 5th Ed. |
| Recommended readings: |
Elements of Information Theory, T. M. Cover, J. A. Thomas, Wiley-Interscience, 2006, 2nd ed.
Information Theory and Reliable Communication, R. Gallager, Wiley, 1991, ISBN: 978-0-471-29048-3.
Principles and Practice of Information Theory, R. E. Blahut, Addison-Wesley, 1990.
Error Control Coding : Fundamentals and Applications, S. Lin, D. J. Costello, Pearson, 2004, 2nd Ed., ISBN 13: 9780130426727.
Principles of Digital Communications, A. J. Viterbi, J. K. Omura, McGraw-Hill, 1979.
Applied Coding and Information Theory for Engineers, R.B. Wells, Prentice-Hall, 1999.
Error Control Systems for Digital Communication and Storage, S. B. Wicker, Englewood Cliffs: Prentice Hall, 1995.
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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