Information Theory: Coding Theorems for Discrete Memoryless SystemsCambridge University Press, 2011. jún. 30. Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful hints for solving them, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics. |
Gyakori szavak és kifejezések
a-capacity achievable rate region Ahlswede Alice and Bob alphabet arbitrary assertion binary capacity region channel coding channel network Chapter characterization code f codeword set coding theorem consider convex Corollary corresponding Csiszár decoder defined definition denote digraph distortion measure distribution DMMS entropy equals error exponent error probability exists exponentially Fano's inequality fidelity criterion finite set follows function given graph Hint IEEE-IT implies independent inequality information theory input Körner Lemma log gwn M₁ mapping matrix message set mutual information n-length block code output prefix code probability of error Problem proof of Theorem prove random code resp result satisfying sequences Shannon Show SK capacity source coding source network stochastic matrix subset sufficiently large transmission upper bound vertex vertices zero zero-error capacity