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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Po-Ning Chen Hsuan-Yin Lin Moser, S.M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, National Chiao Tung University (NCTU), Hsinchu, Taiwan (Po-Ning Chen; Hsuan-Yin Lin; Moser, S.M.) |
| Abstract | Block-codes with a very small number of codewords are Investigated for the two special binary memoryless channels, the binary symmetric channel (BSC) and the Z-channel (ZC). The optimal (In the sense of minimum average error probability, using maximum likelihood decoding) code structure Is derived for the cases of two, three, and four codewords and an arbitrary blocklength. It Is shown that for two possible messages, on a BSC, the so-called flip codes of type t are optimal for any t, while on a ZC, the flip code of type 0 Is optimal. For codes with three or four messages It Is shown that the so-called weak flip codes of some given type are optimal where the type depends on the blocklength. For all cases an algorithm Is presented that constructs an optimal code for blocklength n recursively from an optimal code of length n — 1. For the ZC a recursive optimal code design Is conjectured In the case of live possible messages. The derivation of these optimal codes relies heavily on a new approach of constructing and analyzing the code-matrix not row-wise (codewords), but column-wise. Moreover, these results also prove that the minimum Hamming distance might be the wrong design criterion for optimal codes even for very symmetric channels like the BSC. |
| Starting Page | 175 |
| Ending Page | 179 |
| File Size | 328200 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457704383 |
| e-ISBN | 9781457704376 |
| DOI | 10.1109/ITW.2011.6089371 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-16 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hamming distance Error probability Vectors Memoryless systems Linear code |
| Content Type | Text |
| Resource Type | Article |
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