マルチメディア情報理論特論_E
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Instructor(s) |
Kazuki KATAGISHI
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katagisi@cc.tsukuba.ac.jp | |
URL | |
Office hours | Academic Computing and Communications Center (Room Number 404) , two hours after class |
Cource# | 01CH102, 01CF202 |
Area | |
Basic/Advanced | |
Course style | lecture |
Term | SprAB |
Period | Tue3,4 |
Room# | 3B303 |
Keywords | Modern Information Theory, Sampling theorem, Fluency Theory, Distributions, New Generation Network |
Prerequisites | Undergraduate level linear algebra, analysis and signal analysis |
relation degree program competence | Knowledge Utilization Skills, Research Skills, Expert Knowledge |
Goal | |
Outline | This course provides "Fluency Information Theory"-based modern information theory as post Shannon. The theory can be considered as a generalization of Shannon's sampling theory and also is available on the New Generation Network as one of ICT (Information and Communication Technology) core technologies. |
Course plan | (1) Fourier series and Fourier transform (2) Distributions (Hyper functions) for waveform (signal) analysis (3) Distributions-based complete proof of Shannon's sampling theorem (4) Fluency sampling theorem (5) Fluency theory as modern information theory |
Textbook | Handouts |
References | (1) A. Papoulis, "Signal Analysis", McGraw-Hill, New York, NY, 1977. (2) E.O. Brigham, "The Fast Fourier Transform", Englewood Cliffs, NJ, Prenctice-Hall, 1974. |
Evaluation | Evaluation based on reports(20%) and term examination (80%) |
TF / TA | |
Misc. | Open in an even number year. |