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M序列报文的MIAC压缩编码算法

A MIAC Compression Algorithm for M Sequence Message
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摘要 M序列报文是典型短波数据链报文。提出一种针对M序列报文的MIAC压缩编码算法,该算法根据M序列报文的统计特性,应用基于字段结构的半动态概率估计模型,量化低概率符号出现概率的取值且半动态更新,采用动态的编码区间长度更新机制,使乘法运算替换为预处理过程中的查表运算,最大造成10.04%的编码效率损失。测试结果表明,当M序列报文数目为2~9条时,MIAC压缩编码算法在损失最多20%的压缩率时,使压缩时间低于原算术编码至少50%。为今后研究提升数据链系统性能提供一种新的思路。 M sequence message is a typical message of HF data link. According to the statistical properties of M sequence message, this paper puts forward a new improved arithmetic coding, i.e. a semi-fixed proba- bility estimative model based on frame structure proposed to quantify the probability of low probability symbols, a dynamic update mechanism of encoding interval length applied to update discretely encoding in- terval length in real time, and the algorithm caused the coding efficiency loss up to 10.04~/6. The test re- sults show that when the quantity of M sequence message is from 2 to 9 and MIAC compression coding al- gorithm loses its compression ratio by 20 % at most, compression time of the improved algorithm is lower than the original arithmetic coding at least 50%. And this will provide a new way of thinking for the study of the performance of data link system in the future.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2014年第2期62-65,共4页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国家自然科学基金资助项目(61302153)
关键词 算术编码 M序列报文 概率估计模型 编码区间 arithmetic coding M sequence message probability estimation model encoding interval
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  • 1王蕾,汪芙平,王赞基.一种新型的混沌伪随机数发生器[J].物理学报,2006,55(8):3964-3968. 被引量:31
  • 2Marpe D,Blattermann G,Heising G,et al.Further results for CABAC entropy coding scheme[R].VCEG-M59.Austin:ITU-T SG 16,2001.
  • 3David S.数据压缩原理与应用[M].吴乐南,译.北京:电子工业出版社,2003.
  • 4Marpe D,Blattermann G,Heising G,et al.Video compress using context-based adaptive binary arithmetic coding in JVT/H.261[C]∥Proc IEEE International Conference on Image Processing.Thessaloniki:IEEE,2001:558-561.
  • 5Triantafyllidis G A,Strintzis M G.A context based adaptive arithmetic coding technique for lossless image compression[J].IEEE Signal Processing Letters,1999,6(7):168-170.
  • 6Shannon C E 1949 Bell System Technical Journal 28 656.
  • 7Shapiro J M 1993 IEEE Trans. Signal Processing 41 3445.
  • 8Christopoulos C, Skodras A, Ebrahimi T 2000 IEEE Trans. Consumer Electronics 46 1103.
  • 9Katti R S, Srinivasan S K, Vosoughi A 2011 IEEE Trans. Information Forensics and Security 6.
  • 10Duan L L, Liao X F, Xiang T 2010 Acta Phys. Sin. 59 6744 (in Chinese).

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