消息理論
Information Theory
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 消息理論 EDB06（光復） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This course covers fundamentals of information theory, with applications drawn from data compression, communication over noisy channels, hypothesis testing, and coding for noiseless networks. The goal of this course is to develop the abilities of students: • To understand the basic language and tools of information theory; • To apply the basic tools of information theory to solve various communication engineering problems.
Probability, Introduction to digital communication
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Homework and Quiz 30% Midterm 35% Final 35%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Information measure (1/2) |
| 第 3 週 | Information measure (2/2) |
| 第 4 週 | Data compression (1/3) |
| 第 5 週 | Data compression (2/3) |
| 第 6 週 | Data compression (3/3) |
| 第 7 週 | Asymptotic equipartition property |
| 第 8 週 | Midterm exam |
| 第 9 週 | Channel coding theorem (1/2) |
| 第 10 週 | Channel coding theorem (2/2) |
| 第 11 週 | Polar codes |
| 第 12 週 | Differential entropy and continuous channel (1/2) |
| 第 13 週 | Differential entropy and continuous channel (2/2) |
| 第 14 週 | Gaussian multiple access channel and broadcast channel |
| 第 15 週 | Binary hypothesis testing |
| 第 16 週 | Final exam |
| 第 17 週 | Supplementary 1: Information-theoretic analysis of machine learning (1/2) |
| 第 18 週 | Supplementary 2: Information-theoretic analysis of machine learning (2/2) |
[1] F. Alajaji and P.-N. Chen, An Introduction to Single-User Information Theory, Springer, 2018 [2] T. Cover and J. Thomas, Elements of Information Theory 2nd edition, Wiley, 2006
- 地點
- ED 834
- 時間
- TBA
- 聯絡方式
- 教師未提供此項資料