Statistical evaluation of pseudorandom sequence generators for energy dispersion applications

Main Article Content

Karla Rivas
Pablo Aníbal Lupera Morillo
Christian José Tipantuña Tenelema

Abstract

A set of statistical tests is proposed, and with them it is evaluated three pseudorandom number generators PRNGs and two pseudorandom bit sequence generators PRBSs, which could be applied in the process of energy dispersion. With the generators analyzed is reached to the conclusion that none exceeds all statistical tests proposed. 

Downloads

Download data is not yet available.

Article Details

How to Cite
Statistical evaluation of pseudorandom sequence generators for energy dispersion applications. (2017). MASKAY, 7(1), 1-5. https://doi.org/10.24133/maskay.v7i1.334
Section
TECHNICAL PAPERS

How to Cite

Statistical evaluation of pseudorandom sequence generators for energy dispersion applications. (2017). MASKAY, 7(1), 1-5. https://doi.org/10.24133/maskay.v7i1.334

References

[1] B. Sklar, “Rayleigh Fading Channels in Mobile Digital Communication Systems. Part I: Characterization.”, IEEE Communication Magazine, vol. 1, nº 0163-6804, pp. 90-100, 1997.

[2] ETSI, “Digital Radio Mondiale (DRM). System Specification” Enero 2014. [En línea]. Disponible: http://www.drm.org/wpcontent/uploads/2014/01/DRM-System-Specification-ETSI-ES-201-980-V4.1.1-2014-01.pdf. [Último acceso: 21 Octubre 2014].

[3] Asociación Brasileña de Normas Técnicas, “NBR 15601”, 11 Noviembre 2007. [En línea]. Disponible: http://www.upjet.org.ar/archivos_noticias/356-1.pdf. [Último acceso: 21 Octubre 2014].

[4] Ned, Corron; Billy Reed; Blakely Jonathan; Krishna Myneni; Shawn Pethel; “Chaotic scrambling for Wireless analog video”; Communications in Nonlinear Science and Numerical Simulation, vol. 15, Issue 9, pp. 2504-2513, 2010.

[5] Galia, Marinova; Zdravka, Tchobanova; “Simulation, Measurement and Test Environment for Pseudo Random Number Generator Circuits”, Research on Electric and Electronic Measurement for the Economic Upturn, vol. 20, pp. 15-17, 2014.

[6] Goretti, Campo, Echanobe; “Circuitos digitales basados en FPGA para generación de números aleatorios”, [En línea]. Disponible: http://gtts.ehu.es/dEyE/Actualizable/Anual/Curso05-06/VI_Jornadas_IE/trabajos_dirigidos/Goreti_Sevillano.pdf [Último acceso: 27 Octubre 2014].

[7] Raj, Katti; Rajesh, Kavasseri; Vyasa, Sai, “Pseudorandom bit generation using coupled congruential generators”, Transactions on Circuits and Systems II, vol. 57, nº 3, pp. 203-207, 2010.

[8] Xinjia, Chen; Guoxiang, Gu; Kemin, Zhou; “Measurement complexity of Rayleigh Fading Channels”, IEEE Transactions on Vehicular Technology, vol. 58, issue: 7, pp. 3776-3781, 2009.

[9] S. Morris y A. Smith-Chaigneau, Interactive TV Standars. A guide to MHP, OCAP and JavaTV., Burlington, USA: Focal Press, 2013, p. 28.

[10] H.-J. Zepernick y A. Finger, Pseudo ramdom signal processing. Theory and applications., Primera ed., Chischester, Inglaterra: John Wiley & Sons, Ltd., 2005.

[11] A. Rukhin, J. Soto, J. Nechvatal, M. Smid y E. Barker, “A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications.”, Abril 2010. [En línea]. Disponible: http://csrc.nist.gov/publications/nistpubs/800-22-rev1a/SP800-22rev1a.pdf. [Último acceso: 9 Octubre 2014].

Most read articles by the same author(s)