Title :
A High-Speed and Long-Period Combined Pseudo-random Number Generator
Author :
Shen Hai-Wei ; Li Jin-ping
Author_Institution :
Inf. Inst., Beijing Union Univ., Beijing, China
Abstract :
Period, relativity, distribution characteristics, computing time are usually used to evaluate the performance of pseudo-random number generators. Combination is a staple method to extend the period of random number generators, and the period will be longer if combined more generators. But, existing combined pseudo-random number generators will increase computing time when more random number sequences are combined. This article presented a new combination schema, which will not increase computing time no matter how many sequence is combined. Based on this schema, random number sequence can be generated at a high speed, and period can be extended optionally, this is meaningful to all situations using pseudo-random sequence. Additionally, the article proved the combined pseudo-random number generators can access statistic test of relativity and distribution characteristics.
Keywords :
random number generation; random sequences; combination method; combined number generator; computing time; pseudo-random number generators; random number sequences; Computational intelligence; combined generator; period; pseudo-random sequence; statistic test;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.35