ACM Home Page
Please provide us with feedback. Feedback
Walsh-spectral test for GFSR pseudorandom numbers
Full text PdfPdf (470 KB)
Source
Communications of the ACM archive
Volume 30 ,  Issue 8  (August 1987) table of contents
Pages: 731 - 735  
Year of Publication: 1987
ISSN:0001-0782
Author
Shu Tezuka  ATR Communication Systems Research Laboratory, Osaka, Japan
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 24,   Citation Count: 5
Additional Information:

abstract   references   cited by   index terms   review   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/27651.27657
What is a DOI?

ABSTRACT

By applying Weyl's criterion for k-distributivity to GFSR sequences, we derive a new theoretical test for investigating the statistical property of GFSR sequences. This test provides a very useful measure for examining the k-distribution, that is, the statistical independence of the k-tuple of successive terms of GFSR sequences. In the latter half of this paper, we describe an efficient procedure for performing this test and furnish experimental results obtained from applying it to several GFSR generators with prime period lengths.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Beauchamp. K.C. Walsh Functions and Their Applications. Academic Press. New York. 1975.
2
 
3
Franklin. J.N. Deterministic simulalion of random processes. Math. Compuf. 17.81 (1963). 28-59.
 
4
Fushimi. M., and Tezuka. S. Pseudorandom number generators based on maximum length linearly recurring sequences. J. Fac. Eng. A-17 (1979). 42-43 (in Japanese).
5
 
6
Kirkpatrik. S.. and Sloll. E.P. A very fast shift register sequence random number generator. J. Compur. Phys. 40. 2 (1981). 517-526.
 
7
 
8
Lewis. P.A.W.. Goodman. A.S.. and Miller. J.M. A pseudorandom number generator for the System/360. IBM Syst. J. 8, 2 (1969). 136- 146.
9
 
10
Marsaglia. G. Random number generator. In Encyclopedia of Computer Science. A. Ralston and C.L. Meek. Eds. Petrocelli/Charter. New York. 1976.
 
11
Tausworthe. R.C. Random numbers generated by linear recurrence module two. Math. Cornput. 19. 90 (1965). 201-209.
 
12
Tezuka. S. The asymptotic randomness of GFSR pseudorandom numbers. Trans. Inf. Process. Soc. Japan 25. 4 (July 1984). 681-684 (in Japanese).
 
13
Tezuka. S. The theoretical comparison between cogruential methods and GFSR algorithms. jSI Res. Rep. TR87-0001. IBM japan. Tokyo. 1984.
14
15
 
16
Walsh. J.L. A closed set of orthogonal functions. Am. 1. Math. 45 (1923). 5-24.
 
17
Weyl. H. Uber die gleichverteilung van zahlen mod. eins. Math. Ann.
18



REVIEW

"John B. Slater : Reviewer"

In the study of algorithms for pseudorandom numbers, an important factor is the usability of a sequence of pseudorandom numbers for particular purposes. Their use in a periodic fashion is frequent, and so the statistical independence of   more...