计算机科学 ›› 2018, Vol. 45 ›› Issue (10): 94-98.doi: 10.11896/j.issn.1002-137X.2018.10.018
王刚1, 彭华1, 靳彦青2, 唐永旺1
WANG Gang1, PENG Hua1, JIN Yan-qing2, TANG Yong-wang1
摘要: 针对无损信源编码存在误码扩散的问题,建立了以最大后验概率估计为基础的信源序列分段译码模型,设计了基于统计模型的容错译码算法。该算法充分利用了信源编码数据的残留冗余,较好地消除了无损压缩数据对误码的敏感性,为文本压缩数据的容错译码提供了新思路。实验结果表明,该算法具有纠正信源数据中误码的能力,能够显著减少信息损失。
中图分类号:
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