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dc.contributor.authorZhou, J.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorWang, X.
dc.date.accessioned2017-11-20T08:49:37Z
dc.date.available2017-11-20T08:49:37Z
dc.date.created2017-11-20T08:13:33Z
dc.date.issued2017
dc.identifier.citationZhou, J. and Liu, W. and Wang, X. 2017. Structure analysis on the k-error linear complexity for 2n-periodic binary sequences. Journal of Industrial and management optimization. 13 (4): pp. 1743-1757.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/57927
dc.identifier.doi10.3934/jimo.2017016
dc.description.abstract

In this paper, in order to characterize the critical error linear complexity spectrum (CELCS) for 2 n -periodic binary sequences, we first propose a decomposition based on the cube theory. Based on the proposed k-error cube decomposition, and the famous inclusion-exclusion principle, we obtain the complete characterization of the ith descent point (critical point) of the k-error linear complexity for i = 2; 3. In fact, the proposed constructive approach has the potential to be used for constructing 2 n -periodic binary sequences with the given linear complexity and k-error linear complexity (or CELCS), which is a challenging problem to be deserved for further investigation in future.

dc.publisherAmerican Institute of Mathematical Sciences
dc.titleStructure analysis on the k-error linear complexity for 2n-periodic binary sequences
dc.typeJournal Article
dcterms.source.volume13
dcterms.source.number4
dcterms.source.startPage1743
dcterms.source.endPage1757
dcterms.source.issn1547-5816
dcterms.source.titleJournal of Industrial and management optimization
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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