Reporter: Professor Martin Bossert (IEEE Fellow)
Topic1: Channel coding
Topic2: Bio-information Theory
Topic3: Compressed Sensing
Time: 9:00—12:00, From Sep. 9 to Sep. 20, 2013
Venue: 信息学院四楼报告厅
Abstract:
Part I:
Linear Block Codes, Basics of Algebra Channel Coding, Reed-Solomon Codes, BCH Codes, Summary of Algebraic Decoding, Convolutional Codes, Channel Models, Plotkin Construction and Reed-Muller Codes, Generalized Code Concatenation and Generalized Error Locating Codes, Concatenation of block codes and iterative decoding, Woven and Turbo Codes, Feedback and ARQ (Incremental Redundancy), Low Density Parity Check Codes, Euclidean and Projective Geometry LDPC Codes, Coded Modulation, Space-Time Codes.
Part II:
Discrete Probability Theory, Random Variable and Bounds, Basics of Information Theory, Source Coding Theorem, Channel Coding Theorem, Channel Coding Theorem for BSC, Fundamentals of Biology, Phylogenetic Tree, Barcoding.
Part III:
Basic Ideas of Compressed Sensing, Linear Program.
Biography:
Martin Bossert is a Fellow of IEEE. He received his Dipl.-Ing. degree in Electrical Engineering from the Technical University of Karlsruhe, Germany in 1981, and the Ph.D. from the Technical University of Darmstadt, Germany in 1987. After a one-year DFG scholarship at Linköeping University, Sweden. He joined AEG Mobile Communication, where he was, among others, involved in the specification and development of the GSM system. Since 1993 he is a Professor at the University of Ulm, Germany, presently as director of the Institute of Telecommunications and Applied Information Theory. He is author of several textbooks and his research interests are in reliable and secure data transmission. The main focus is on decoding with reliability information of algebraic codes and coded modulation. Another research area is information theory in molecular biology.