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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vontobel, P.O. Smarandache, R. Kiyavash, N. Teutsch, J. Vukobratovic, D. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of ECE, Wisconsin Univ., Madison, WI (Vontobel, P.O.) |
| Abstract | In order to understand the performance of a code under maximum-likelihood (ML) decoding, it is crucial to know the minimal codewords. In the context of linear programming (LP) decoding, it turns out to be necessary to know the minimal pseudo-codewords. This paper studies the minimal codewords and minimal pseudo-codewords of some families of codes derived from projective and Euclidean planes. Although our numerical results are only for codes of very modest length, they suggest that these code families exhibit an interesting property. Namely, all minimal pseudo-codewords that are not multiples of a minimal codeword have an AWGNC pseudo-weight that is strictly larger than the minimum Hamming weight of the code. This observation has positive consequences not only for LP decoding but also for iterative decoding |
| Starting Page | 980 |
| Ending Page | 984 |
| File Size | 223062 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780391519 |
| DOI | 10.1109/ISIT.2005.1523484 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-04 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Geometry Iterative decoding Maximum likelihood decoding Parity check codes Linear programming Hamming weight Code standards Linear code Hamming distance Data communication |
| Content Type | Text |
| Resource Type | Article |
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