General theory of information transfer: Updated
Discrete Applied Mathematics
Bibliography of publications by Rudolf Ahlswede
Information Theory, Combinatorics, and Search Theory
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Our main result is that good codes, even those meeting the random coding bound, can be produced with relatively few (linear in the block length) permutations from a single codeword. This cutdown in complexity may be of practical importance. The motivation for looking at such codes came from Ahlswede's covering lemma, which makes it possible to build correlated source codes from channel codes via permutations. In Appendix I we show that the problem of finding the best error exponents for coding sources with full side information at the decoder, which has received attention in the recent literature, can easily be reduced to the familiar one for the discrete memoryless channel (DMC). Finally, in Appendices II and III we give rather precise double exponentially small bounds on the probabilities that a randomly chosen code will fail to meet the random coding or expurgated bound for the DMC. According to these results, good codes are hard to miss if selected at random. This also explains why good codes of a Iow complexity (such as those produced by