DocumentCode
1254944
Title
New binary sequences with good aperiodic autocorrelations obtained by evolutionary algorithm
Author
Deng, Xinmin ; Fan, Pingzhi
Author_Institution
Inst. of Mobile Commun., Southwest Jiaotong Univ., Chengdu, China
Volume
3
Issue
10
fYear
1999
Firstpage
288
Lastpage
290
Abstract
A new binary sequences for lengths up to 100 with good autocorrelation function properties are presented. The results obtained by an evolutionary algorithm are better than other known results in most cases.
Keywords
binary sequences; correlation methods; evolutionary computation; aperiodic autocorrelations; autocorrelation function properties; binary sequence lengths; binary sequences; evolutionary algorithm; optimization; Application software; Autocorrelation; Binary sequences; Energy measurement; Evolution (biology); Evolutionary computation; Length measurement; Neural networks; Optimization methods; Radar applications;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/4234.798020
Filename
798020
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