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 |
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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 |
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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