Noise generators for the simulation of digital communication systems

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Noise generators for the simulation of digital communication systems

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Annual Simulation Symposium archive
Proceedings of the 24th annual symposium on Simulation table of contents

New Orleans, Louisiana, United States

Pages: 264 - 275

Year of Publication: 1991

ISBN:0-8186-2169-9

Also published in ...

Authors

Martina F. Schollmeyer	Intelligent Systems Center, University of Missouri-Rolla, Rolla, Missouri
William H. Tranter	Department of Electrical Engineering, University of Missouri-Rolla, Rolla, Missouri

Sponsor

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

IEEE Computer Society Press Los Alamitos, CA, USA

Bibliometrics

Downloads (6 Weeks): 12, Downloads (12 Months): 46, Citation Count: 2

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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.

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	2	Donald E. Knuth, The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1997
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	4	Marsaglia, G., "Random Numbers Fall Mainly on the Planes," Procceedings National Academy of Science 61, Sept. 1968, pp. 25-28.
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	8	Wichmann, B.A., and Hill, I. D., "An Efficient and Portable Pseudo-Random Number Generator," Appl. Stat. Algorithm 31, 1982, AS 183, pp.188-190.
	9	Coates, Rodney F.W., Janacek, Gareth J., and Lever, Kenneth V., "Monte Carlo Simulation and Random Number Generation," IEEE Selected Areas on Communications 6, No. 1, Jan. 1988, pp. 58-66.
	10	Marsaglia, G., Zamann, A., and Tsang, W. W., "Toward a Universal Random Number Generator," Florida State University Report: FSU-SCRI-87- 50, 1987, Letters in Statistics and Probability, Oct. 1989.
	11	Orfanidis, S., Optimum Signal Processing - An Introduction, 2nd edition, McGraw-Hill, 1988.
	12	Marsaglia, G., and Tsang, W.W., "A Fast, Easily Implemented Method for Sampling from Decreasing or Symmetric Unimodal Density Functions," SIAM J. Sci. Stat. Comput. Vol. 5, No. 2, 1984, pp. 349-359.
	13	Box, G.E.P., and Muller, M.E., "A Note on the Generation of Random Normal Deviates," Ann. Math. Statist. 29, 1958, pp. 610-611.
	14	Neave, H.R, On Using the Box-Muller Transformation with Multiplicative Congruential Pseudo-Random Number Generators," Appl. Stat. 22, 1973, pp. 92-97.
	15	Marsaglia, G., and Bray, T.A., "A Convenient Method for Generating Normal Random Variables," SIAM Review, Vol. 6, No. 3 1964, pp. 260-264.
	16	R. R. Coveyou , R. D. Macpherson, Fourier Analysis of Uniform Random Number Generators, Journal of the ACM (JACM), v.14 n.1, p.100-119, Jan. 1967 [doi>10.1145/321371.321379]

CITED BY 2

	David B. Thomas , Wayne Luk , Philip H.W. Leong , John D. Villasenor, Gaussian random number generators, ACM Computing Surveys (CSUR), v.39 n.4, p.11-es, 2007
	Amirhossein Alimohammad , Saeed Fouladi Fard , Bruce F. Cockburn , Christian Schlegel, A compact and accurate Gaussian variate generator, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, v.16 n.5, p.517-527, May 2008