DocumentCode :
1373663
Title :
The Linear Complexity of Binary Sequences With Optimal Autocorrelation
Author :
Wang, Qi ; Du, Xiaoni
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Volume :
56
Issue :
12
fYear :
2010
Firstpage :
6388
Lastpage :
6397
Abstract :
Binary sequences with optimal autocorrelation are needed in many applications. Two constructions of binary sequences with optimal autocorrelation of period N ≡ 0 (mod 4) are investigated. The two constructions are powerful and generic in the sense that many classes of binary sequences with optimal autocorrelation could be obtained from binary sequences with ideal autocorrelation. General results on the minimal polynomials of these binary sequences are derived. Based on the results, both the linear complexities and the minimal polynomials are determined.
Keywords :
binary sequences; correlation methods; polynomials; binary sequences; linear complexity; minimal polynomials; optimal autocorrelation; Binary sequences; Complexity theory; Correlation; Polynomials; Almost difference set; autocorrelation; difference set; interleaving; linear complexity;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2079550
Filename :
5625656
Link To Document :
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