课程名称︰资讯理论与编码技巧 课程性质︰选修 课程教师：吴家麟 开课学院：电资学院 开课系所︰资工所、网媒所 考试日期（年月日）︰2015.03.30 公布题目, 2015.04.20 或 2015.04.27 上课报告 考试时限（分钟）： 试题 : Step 1 请自行分组(1~2人一组)，每组选定一报告题目，必须与 information theory 有关 (ex. information theory/entropy 在其他领域的运用，也可直接在下方参考题目中挑 选)，之後前往以下网址依序登记所选题目与组员。 https://docs.google.com/spreadsheets/d/1Uz0Cae8LzqnADhk8PqsjO_6sJaFsgMBwwq7kRo rVDIQ/edit Due date: 2015/04/06 14:00 参考题目: 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 报告时间为04/20、04/27两天，每组报告10分钟。请大家在04/20上课前做好准备!! 因为报告时间只有十分钟，请不要花太多时间在讲太艰深的数学证明...等等，反之可以 视为一门通识课的报告：在全盘了解报告题目内容後，用最精简的图片、文字描述大方向 、概念即可，让台下同学都能听得懂这篇主要在讲什麽、解决什麽问题、跟这堂课有什麽 关联...等。 若有意愿在04/20这天报告的组别，请到下方连结登记你的组别号码： http://tinyurl.com/qyhebgp Due date: 2015/04/20 14:00 若登记组数超过一半，04/20当天会用抽签决定上台的顺序直到上台组数过半，剩下的一 律排到04/27报告。 若登记的组数未过半，04/20当天在已登记的组别报完後(抽签决定顺序)，会再从未报的 组别中抽签直到上台组数过半。 Step 3 每组请缴交一份报告投影片及一份不超过两面的书片报告至 itct [at] cmlab.csie.ntu.edu.tw Due date: 2015/04/27 23:59 信中请注明组别、组员学号! --

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