マルチメディア情報理論特論_E


Instructor(s) 
Kazuki KATAGISHI

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) Distributionsbased 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", McGrawHill, New York, NY, 1977. (2) E.O. Brigham, "The Fast Fourier Transform", Englewood Cliffs, NJ, PrencticeHall, 1974. 
Evaluation  Evaluation based on reports(20%) and term examination (80%) 
TF / TA  
Misc.  Open in an even number year. 