Error detection and correction using error pattern correcting codes

Abstract

In general, the disclosure describes techniques for detecting and correcting single or multiple occurrences of data error patterns. This disclosure discusses the generation and application of high-rate error-pattern-correcting codes to correct single instances of targeted error patterns in codewords, and to further correct a significant portion of multiple instances of targeted error patterns, with the least redundancy. In accordance with the techniques, a lowest-degree generator polynomial may be constructed that targets a set of dominant error patterns that make up a very large percentage of all observed occurrences of errors. The lowest-degree generator polynomial produces distinct, non-overlapping syndrome sets for the target error patterns. The lowest-degree generator polynomial may be constructed such that no two error patterns within the list of dominant error patterns map to the same syndrome set, and the single occurrence and starting position of any of the target error patterns can be successfully identified.