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Cost Optimized Design Technique for Pseudo-Random Numbers in Cellular Automata

机译:细胞自动机中伪随机数的成本优化设计技术

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In this research work, we have put an emphasis on the cost effective design approach for high qualitypseudo-random numbers using one dimensional Cellular Automata (CA) overMaximum LengthCA.Thiswork focuses on different complexities e.g., space complexity, time complexity, design complexity andsearching complexity for the generation of pseudo-random numbers in CA. The optimization procedure forthese associated complexities is commonly referred as the cost effective generation approachfor pseudo-random numbers. The mathematical approach for proposed methodology over the existing maximum lengthCA emphasizes on better flexibility to fault coverage. The randomness quality of the generated patterns forthe proposed methodology has been verified using Diehard Tests which reflects that the randomness qualityachieved for proposed methodology is equal to the quality of randomness of the patterns generated by themaximum length cellular automata. The cost effectiveness results a cheap hardwareimplementation for theconcerned pseudo-random pattern generator.Short version of this paper has been published in [1].
机译:在这项研究工作中,我们重点介绍了使用最大长度CA的一维元胞自动机(CA)来设计高质量伪随机数的具有成本效益的设计方法,该工作着眼于不同的复杂性,例如空间复杂性,时间复杂性,设计复杂性和搜索复杂性用于在CA中生成伪随机数。与复杂性有关的优化过程通常被称为伪随机数的经济有效的生成方法。针对现有最大长度CA的拟议方法的数学方法强调了故障覆盖的更好灵活性。已使用Diehard测试验证了所提出方法的生成模式的随机性,这反映了所提出方法所实现的随机性质量等于最大长度细胞自动机生成的模式的随机性。成本效益为相关的伪随机模式生成器提供了廉价的硬件实现。本文的简短版本已发表在[1]中。

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