Abstract
We employ the methods of statistical physics to study the performance of Gallager type error-correcting codes. In this approach, the transmitted codeword comprises Boolean sums of the original message bits selected by two randomly-constructed sparse matrices. We show that a broad range of these codes potentially saturate Shannon's bound but are limited due to the decoding dynamics used. Other codes show sub-optimal performance but are not restricted by the decoding dynamics. We show how these codes may also be employed as a practical public-key cryptosystem and are of competitive performance to modern cyptographical methods.
| Original language | English |
|---|---|
| Title of host publication | Disordered and complex systems |
| Editors | L.P. Hughston P. Sollich, R.F. Streater |
| Place of Publication | New york |
| Publisher | American Institute of Physics |
| Pages | 89-94 |
| Number of pages | 6 |
| Volume | 553 |
| DOIs | |
| Publication status | Published - 9 Feb 2001 |
| Event | Disordered and Complex Systems - Duration: 9 Feb 2001 → 9 Feb 2001 |
Other
| Other | Disordered and Complex Systems |
|---|---|
| Period | 9/02/01 → 9/02/01 |
Bibliographical note
Copyright of American Institute of Physics(AIP).Keywords
- statistical physics
- error correcting codes
- sparse matrices
- Shannon's bound
- decoding dynamics
- public-key cryptosystem
- cyptographical
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