2012•Unpublished venueRequires access

Design of a Pseudo-Random Binary Code Generator via a Developed Simulation Model

Afaq Ahmad, Dawood Al‐Abri

Open publisher page 9 citations

Abstract

This paper presents a developed tool for Pseudo- Random Binary Code generator (PRBCG). Based on extensive study of LFSR theory we developed the simulation model of PRBCG. The developed model is faster and simulates the process for very high length of Linear Feedback Shift Registers (LFSRs). We tested our model for the value n = 300 where n is the length of the LFSR. The developed software model is also capable of providing the transition states of different bits of LFSRs. Further, the model has capability of switching to any possible characteristic polynomial (feedback connections) of n-bit LFSR. Also, the model is designed such that it can accommodate all the possible initial conditions (2 n ) of LFSR.

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What this paper is about

This paper presents a developed tool for Pseudo- Random Binary Code generator (PRBCG). Based on extensive study of LFSR theory we developed the simulation model of PRBCG. The developed model is faster and simulates the process for very high length of Linear Feedback Shift Registers (LFSRs). We tested our model for the value n = 300 where n is the length of the LFSR. The developed software model is also capable of providing the transition states of different bits of LFSRs. Further, the model has capability of switching to any possible characteristic polynomial (feedback connections) of n-bit LFSR. Also, the model is designed such that it can accommodate all the possible initial conditions (2 n ) of LFSR.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a developed tool for Pseudo- Random Binary Code generator (PRBCG). Based on extensive study of LFSR theory we developed the simulation model of PRBCG. The developed model is faster and simulates the process for very high length of Linear Feedback Shift Registers (LFSRs). We tested our model for the value n = 300 where n is the length of the LFSR. The developed software model is also capable of providing the transition states of different bits of LFSRs. Further, the model has capability of switching to any possible characteristic polynomial (feedback connections) of n-bit LFSR. Also, the model is designed such that it can accommodate all the possible initial conditions (2 n ) of LFSR.

Key concepts: Linear feedback shift register, Shift register, Binary number, Generator (circuit theory), Random number generation, Algorithm, Computer science, Pseudorandom number generator

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