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Classification and counting on multi-continued fractions and its application to multi-sequences

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【Author】 DAI ZongDuo1 & FENG XiuTao2 1 State Key Laboratory of Information Security, Graduate School of Chinese Academy of Sciences, Beijing 100049, China; 2 WatchData Research, Watchdata System Co. Ltd, YanDong Business Park, Capital Airport Road, Chao- yang District, Beijing 100015, China

【摘要】 In the light of multi-continued fraction theories, we make a classification and counting for multi-strict continued fractions, which are corresponding to multi-sequences of multiplicity m and length n. Based on the above counting, we develop an iterative formula for computing fast the linear complexity distribution of multi-sequences. As an application, we obtain the linear complexity distributions and expectations of multi-sequences of any given length n and multiplicity m less than 12 by a personal computer. But only results of m=3 and 4 are given in this paper.

【Abstract】 In the light of multi-continued fraction theories, we make a classification and counting for multi-strict continued fractions, which are corresponding to multi-sequences of multiplicity m and length n. Based on the above counting, we develop an iterative formula for computing fast the linear complexity distribution of multi-sequences. As an application, we obtain the linear complexity distributions and expectations of multi-sequences of any given length n and multiplicity m less than 12 by a personal computer. But only results of m=3 and 4 are given in this paper.

【基金】 the National Natural Science Foundation of China (Grants Nos. 60173016 and 90604011)
  • 【文献出处】 Science in China(Series F:Information Sciences) ,中国科学(F辑:信息科学)(英文版) , 编辑部邮箱 ,2007年03期
  • 【分类号】TN918.1
  • 【被引频次】1
  • 【下载频次】14
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