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Novel Fault-Tolerant Decompression Method of Corrupted Huffman Files

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Abstract

Data compression and decompression have been widely applied in modern communication and data transmission fields. But how to decompress corrupted lossless compressed files is still a challenge. This paper presents a fault-tolerant decompression (FTD) method for corrupted Huffman files. It is achieved by utilizing source prior information and heuristic method. In this paper, we propose to use Huffman coding rules and grammar rules to model the source prior. According to the source prior information, we can roughly estimate the range of error bits. As for error correction, a heuristic algorithm is developed to determine the accurate positions of error bits and correct the errors. The experimental results demonstrate that the proposed FTD method can achieve a correction rate of 96.84% for corrupted Huffman files when the source prior information is accurate. More importantly, the proposed method is a general model that can be applied to decompress various types of lossless compressed files of which the original files are natural language texts.

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Tongji University, Shanghai, China

    Digang Wang & Xiaoqun Zhao

  2. School of Computer Science and Engineering, California State University San Bernardino, San Bernardino, CA, USA

    Qingquan Sun

Authors
  1. Digang Wang
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  2. Xiaoqun Zhao
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  3. Qingquan Sun
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Correspondence to Qingquan Sun.

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Wang, D., Zhao, X. & Sun, Q. Novel Fault-Tolerant Decompression Method of Corrupted Huffman Files. Wireless Pers Commun 102, 2555–2574 (2018). https://doi.org/10.1007/s11277-018-5277-5

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  • DOI: https://doi.org/10.1007/s11277-018-5277-5

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