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Permutation and sampling with maximum length CA or pseudorandom number generation

机译:具有最大长度CA或伪随机数生成的置换和采样

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In this paper, we study the effect of dynamic permutation and sampling on the randomness quality of sequences generated by cellular automata (CA). Dynamic permutation and sampling have not been explored in previous CA work and a suitable implementation is shown using a two CA model. Three different schemes that incorporate these two operations are suggested - weighted permutation vector sampling with controlled multiplexing, weighted permutation vector sampling with irregular decimation and permutation programmed CA sampling. The experiment results show that the resulting sequences have varying degrees of improvement in DIEHARD results and linear complexity compared to the CA. (c) 2006 Elsevier Inc. All rights reserved.
机译:在本文中,我们研究了动态排列和采样对细胞自动机(CA)生成的序列的随机性质量的影响。在先前的CA工作中尚未探索动态置换和采样,并且使用两个CA模型显示了合适的实现。提出了结合这两个操作的三种不同方案-具有受控多路复用的加权置换矢量采样,具有不规则抽取的加权置换矢量采样和置换编程的CA采样。实验结果表明,与CA相比,所得序列在DIEHARD结果和线性复杂度方面有不同程度的改善。 (c)2006 Elsevier Inc.保留所有权利。

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