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The Design of Combined Random Number Generator

Xiaohui Guan, Yaguan Qian

Open publisher page 1 citations

Abstract

We know that the statistical properties of random number generator with single chaos mapping have some shortcomings of unsatisfactory statistical performances. In this paper we propose a combined random number generator with uniform distribution, which is composed of non-linear chaotic Logistic mapping, hybrid optical chaotic mapping and linear congruential method. Experiment results demonstrate that the combined random number generator has good statistical properties.

About this research paper

What this paper is about

We know that the statistical properties of random number generator with single chaos mapping have some shortcomings of unsatisfactory statistical performances. In this paper we propose a combined random number generator with uniform distribution, which is composed of non-linear chaotic Logistic mapping, hybrid optical chaotic mapping and linear congruential method. Experiment results demonstrate that the combined random number generator has good statistical properties.

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Available abstract

We know that the statistical properties of random number generator with single chaos mapping have some shortcomings of unsatisfactory statistical performances. In this paper we propose a combined random number generator with uniform distribution, which is composed of non-linear chaotic Logistic mapping, hybrid optical chaotic mapping and linear congruential method. Experiment results demonstrate that the combined random number generator has good statistical properties.

Key concepts: Random number generation, Pseudorandom number generator, Linear congruential generator, Chaotic, Computer science, Generator (circuit theory), Random seed, Convolution random number generator

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