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A Lattice Rational Approximation Algorithm for AFSRs Over Quadratic Integer Rings

机译:二次整数环上AFSR的格子有理逼近算法

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Algebraic feedback shift registers (AFSRs) are pseudorandom sequence generators that generalize linear feedback shift registers (LFSRs) and feedback with carry shift registers (FCSRs). With a general setting, AFSRs can result in sequences over an arbitrary finite field. It is well known that the sequences generated by LFSRs can be synthesized by either the Berlekamp-Massey algorithm or the extended Euclidean algorithm. There are three approaches to solving the synthesis problem for FCSRs, one based on the Euclidean algorithm, one based on the theory of approximation lattices and Xu's algorithm which is also used for some AFSRs. Xu's algorithm, an analog of the Berlekamp-Massey algorithm, was proposed by Xu and Klapper to solve the AFSR synthesis problem. In this paper we describe an approximation algorithm that solves the AFSR synthesis problem based on low-dimensional lattice basis reduction. It works for AFSRs over quadratic integer rings Z[D~(1/2)] with quadratic time complexity. Given the first 2φ_π(a) + c elements of a sequence a, it finds the smallest AFSR that generates a, where φ_π(a) is the π-adic complexity of a and c is a constant.
机译:代数反馈移位寄存器(AFSR)是伪随机序列发生器,用于概括线性反馈移位寄存器(LFSR)和带有进位移位寄存器(FCSR)的反馈。通过常规设置,AFSR可以在任意有限域上产生序列。众所周知,可以通过Berlekamp-Massey算法或扩展的Euclidean算法来合成LFSR生成的序列。解决FCSR合成问题的方法有三种,一种是基于欧几里得算法的,一种是基于近似晶格理论的,还有一些AFSR也使用的Xu's算法。 Xu和Klapper提出了Xu的算法,它是Berlekamp-Massey算法的模拟,以解决AFSR综合问题。在本文中,我们描述了一种基于低维晶格基约化的近似算法,可以解决AFSR综合问题。它适用于具有二次时间复杂度的二次整数环Z [D〜(1/2)]上的AFSR。给定序列a的前2个φ_π(a)+ c元素,它找到生成a的最小AFSR,其中φ_π(a)是a的π-adic复杂度,而c是常数。

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