arrow
Return

A Pseudo-Random Generator Whose Output is a Normal Sequence

delete2021-09-22
delete0
PRE
AI
B
Boris Ryabko *
DOI:10.1142/S0129054121500325delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Pseudo-random number generators (PRNGs) are widely used in computer simulation, cryptography, and many other fields. In this paper, we describe a PRNG class, which, firstly, has been successfully tested using the most powerful modern test batteries, and secondly, is proved to consist of generators that generate normal sequences. The latter property means that, for any generated sequence x(1)x(2) ... and any binary word w, we have lim(t ->infinity) nu t(w)/(t - vertical bar w vertical bar) = 2(-vertical bar w vertical bar), where nu(t)(w) is the number of occurrences of w in the sequence x(1) ... x(vertical bar w vertical bar), x(2) ... x(vertical bar w vertical bar+1), ..., x(t) - vertical bar w vertical bar+1 ... x(t).
Keywords:
Pseudo-random number generators
normal sequences
randomness testing

Journal

International Journal of Food Science cover
International Journal of Food Science
IF:
3.1
Papers:
245
Citations:
2.3K

Organization

R
russian academy of sciences
Scholars:
9.1W
Papers: 6.0W
Citations: 60