課程名稱︰資訊理論與編碼技巧
課程性質︰選修
課程教師：吳家麟
開課學院：電資學院
開課系所︰資工所、網媒所
考試日期（年月日）︰2015.03.30 公布題目, 2015.04.20 或 2015.04.27 上課報告
考試時限（分鐘）：
試題 :
Step 1
請自行分組(1~2人一組)，每組選定一報告題目，必須與 information theory 有關
(ex. information theory/entropy 在其他領域的運用，也可直接在下方參考題目中挑
選)，之後前往以下網址依序登記所選題目與組員。
https://docs.google.com/spreadsheets/d/1Uz0Cae8LzqnADhk8PqsjO_6sJaFsgMBwwq7kRo
rVDIQ/edit
Due date: 2015/04/06 14:00
參考題目:
Some Interesting Articles Taken from the Open Access Journal --- Entropy
1. Expectation Values and Variance based on LP-Norms
2. Programming Unconventional Computers: Dynamics, Development, Self-Reference
3. The Entropy of a Discrete Real Variable
4. Modeling and Analyzing the Interaction between Network Rumors and
Authoritative Information
5. Multiscale Compression Entropy of Microvascular Blood Flow Signal:
Comparison of Results from Laser Speckle Contrast and Laser Doppler
Flowmetry Data in Healthy Subjects
6. Depth Image Coding Using Entropy-based Adaptive Measurement Allocation
7. Applying Information Theory to Neuronal Networks: From Theory to Experiments
8. A Note on Distance-based Graph Entropies
9. Redundancy of Exchangeable Estimators
10. Partial Encryption of Entropy-Coded Video Compression Using Coupled
Chaotic Maps
11. On Shannon's Formula and Hartley's Rule: Beyond the Mathematical
Coincidence
12. A Novel Block-based Scheme for Arithmetic Coding
13. Message Authentication over Noisy Channels
14. A Color Image Encryption Algorithm based on A Fractional-Order Hyperchaotic
System
15. A Clustering Method based on the Maximum Entropy Principle
16. Multiscale Entropy Analysis of Heart Rate Variability for Assessing the
Severity of Sleep Disordered Breathing
17. Information Decomposition in Bivariate Systems: Theory and Application to
Cardiorespiratory dynamics
18. Information Theory in Scientific Visualization
Some other interesting Articles:
1. An Information-theoretic Framework for Visualization, Min Chen and Heike
Janicke
2. The Use of Information theory in Evolutionary Biology, Christoph Adami
3. An Information theory perspective on Computational Vision, Alan Yuille
4. Artificial Neural Networks and Information Theory, Colin Fyfe
5. A New Algorithm for Compressed Counting with Applications in Shannon Entropy
Estimation in Dynamic Data, Ping Li and Cun-Hui Zhang
Step 2
報告時間為04/20、04/27兩天，每組報告10分鐘。請大家在04/20上課前做好準備!!
因為報告時間只有十分鐘，請不要花太多時間在講太艱深的數學證明...等等，反之可以
視為一門通識課的報告：在全盤了解報告題目內容後，用最精簡的圖片、文字描述大方向
、概念即可，讓台下同學都能聽得懂這篇主要在講什麼、解決什麼問題、跟這堂課有什麼
關聯...等。
若有意願在04/20這天報告的組別，請到下方連結登記你的組別號碼：
http://tinyurl.com/qyhebgp
Due date: 2015/04/20 14:00
若登記組數超過一半，04/20當天會用抽籤決定上台的順序直到上台組數過半，剩下的一
律排到04/27報告。
若登記的組數未過半，04/20當天在已登記的組別報完後(抽籤決定順序)，會再從未報的
組別中抽籤直到上台組數過半。
Step 3
每組請繳交一份報告投影片及一份不超過兩面的書片報告至
itct [at] cmlab.csie.ntu.edu.tw
Due date: 2015/04/27 23:59
信中請註明組別、組員學號!
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