Courses

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Information Theory 1 (graduate level): information measures; entropy and the lossless source coding theorem; capacity and the channel coding theorem; extension to continues signals and channels; rate-distortion function and the lossy source coding theorem; advance topics (multi-terminal systems, universal coding).

Digital Transmission of Signals (under-graduate level): PCM, DPCM and vector quantization; equalization and maximum likelihood sequence estimation; adaptive filtering methods in communication.

Information Theory 2 (graduate level): network information theory (separate encoding of correlated sources, multi access channels, broadcast channels, coding with side information, multiple descriptions, successive refinement, and more); the method of types (error exponents, universal compression, mismatch encoding, large deviation); information theoretic inequalities; complexity measures for sequences. (more.)

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