Improving linear feedback shift registers using similarity transformations

Naman Saraf, Kia Bazargan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Linear feedback shift registers (LFSRs) are an important component of numerous applications as a source of low cost pseudo-random numbers. The quality of pseudo-random numbers generated by LFSRs, however, is seldom sufficient to meet the requirements of the applications, necessitating the use of additional hardware to improve LFSR performance. We propose a method based on similarity transformations to improve the quality of pseudo-random numbers generated by LFSRs without increasing the hardware cost of the applications.

Original languageEnglish (US)
Title of host publication2015 IEEE Dallas Circuits and Systems Conference
Subtitle of host publicationEnabling Technologies for a Connected World, DCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467379809
DOIs
StatePublished - Dec 14 2015
Event11th IEEE Dallas Circuits and Systems Conference, DCAS 2015 - Dallas, United States
Duration: Oct 12 2015Oct 13 2015

Publication series

Name2015 IEEE Dallas Circuits and Systems Conference: Enabling Technologies for a Connected World, DCAS 2015

Other

Other11th IEEE Dallas Circuits and Systems Conference, DCAS 2015
CountryUnited States
CityDallas
Period10/12/1510/13/15

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    Saraf, N., & Bazargan, K. (2015). Improving linear feedback shift registers using similarity transformations. In 2015 IEEE Dallas Circuits and Systems Conference: Enabling Technologies for a Connected World, DCAS 2015 [7356604] (2015 IEEE Dallas Circuits and Systems Conference: Enabling Technologies for a Connected World, DCAS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCAS.2015.7356604