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5篇 您的检索式:作者名="CHANG Zuling"
    题名 作者 年代 出处 被引量
1On the Cryptographic Properties of Binary 2n-periodic Sequences显示文摘CHANG Zuling WEN Qiaoyan 2011Chinese Journal of Electronics2011,20,2:6
2On the Error Linear Complexity Spectrum of Binary Sequences with Period of Power of Two显示文摘The properties of error linear complexity of binary sequences with period of power of two are studied in this paper. Using the Games-Chan algorithm as main tool, accurate formulas of the minimum value k for which the k-error linear complexity is strictly less than the first and second critical error linear complexity are provided respectively.CHANG Zuling KE Pinhui 2015Chinese Journal of Electronics2015,24,2:3
3On the Cross-Correlation Distribution of d-Ary Generalized Legendre-Sidelnikov Sequences显示文摘The cross-correlation distribution of constant multiple sequences of the d-ary generalized LegendreSidelnikov sequences is investigated via character sums. An upper on the cross-correlation values of the sequences is then presented. As a byproduct, the autocorrelation distribution of d-ary Sidelnikov sequence is completely determined, which is only known in a special case.KE Pinhui YE Zhifan ZHANG Shengyuan CHANG Zuling 2018Chinese Journal of Electronics2018,27,2:2
4On the First and Second Critical Error Linear Complexity of Binary 2^n-periodic Sequences显示文摘CHANG Zuling WANG Xueyuan 2013Chinese Journal of Electronics2013,22,1:2
5Some Algorithms for the Error Linear Complexity of Binary 2^n-Periodic Sequences显示文摘Based on the Games-Chan algorithm and StampMartin algorithm, this paper provides some new algorithms to compute the error linear complexity spectrum of binary 2n-periodic se-quences. These new algorithms are clearer and simpler than old algorithms, and they can quickly compute the error linear complexity spectrum of sequences according to different situations. We also discuss such algorithms and give some new results about linear complexity and error linear complexity of sequences.CHANG Zuling WANG Xueyuan DUAN Li 2013Wuhan University Journal of Natural Sciences2013,18,1:0
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