DocumentCode :
1761506
Title :
A New Method to Compute the 2-Adic Complexity of Binary Sequences
Author :
Hai Xiong ; Longjiang Qu ; Chao Li
Author_Institution :
Coll. of Sci., Nat. Univ. of Defense Technol., Changsha, China
Volume :
60
Issue :
4
fYear :
2014
fDate :
41730
Firstpage :
2399
Lastpage :
2406
Abstract :
In this paper, a new method is presented to compute the 2-adic complexity of pseudo-random sequences. With this method, the 2-adic complexities of all the known sequences with ideal 2-level autocorrelation are determined in a unified way. Results show that their 2-adic complexities equal their periods. In other words, their 2-adic complexities attain the maximum. In addition, 2-adic complexities of two classes of optimal autocorrelation sequences with period N ≡ 1mod4, namely Legendre sequences and Ding-Helleseth-Lam sequences, are investigated. This method also can be used to compute the linear complexity of binary sequences regarded as sequences over other finite fields.
Keywords :
Legendre polynomials; binary sequences; computational complexity; random sequences; 2-adic complexity; 2-level autocorrelation; Ding-Helleseth-Lam sequences; Legendre sequences; binary sequences; linear complexity; optimal autocorrelation sequences; pseudo-random sequences; Complexity theory; Correlation; Linear feedback shift registers; Polynomials; 2-adic complexity; ideal 2-level autocorrelation sequence; linear complexity; optimal autocorrelation sequence;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2014.2304451
Filename :
6736120
Link To Document :
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