Error Correction by Natural Redundancy for Long Term Storage

نویسندگان

  • Anxiao Jiang
  • Pulakesh Upadhyaya
  • Erich F. Haratsch
  • Jehoshua Bruck
چکیده

Non-volatile memories are increasingly important for big-data storage. However, their long-term data reliability has significant challenges. This work studies how to use the natural redundancy in data for error correction. The natural redundancy can be combined with error-correcting codes to effectively improve data reliability. This work studies several aspects of natural redundancy: effective discovery of natural redundancy in compressed data, error-correction capability of error-correcting codes with natural redundancy, and efficient decoding of random codes that model data with natural redundancy.

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تاریخ انتشار 2017