Cascading Parity-Check Error-Correcting Codes
Ido Kanter, David Saad
TL;DR
This paper introduces a novel method inspired by statistical physics to enhance the performance of sparse-matrix parity check error-correcting codes, demonstrating improvements on existing paradigms and potential for advanced codes.
Contribution
It presents a new approach to improve error-correcting codes using insights from statistical physics, applied to sparse-matrix parity check codes and their advanced variants.
Findings
Improved decoding performance demonstrated on Sourlas codes
Method applicable to more advanced error-correcting codes
Insights from physics enhance code efficiency
Abstract
A method for improving the performance of sparse-matrix based parity check codes is proposed, based on insight gained from methods of statistical physics. The advantages of the new approach are demonstrated on an existing encoding/decoding paradigm suggested by Sourlas. We also discuss the application of the same method to more advanced codes of a similar type.
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