scholarly journals Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2103
Author(s):  
Guillermo Cotrina ◽  
Alberto Peinado ◽  
Andrés Ortiz

This paper presents a new proposal to generate optimal pseudorandom numbers with Gaussian distribution. The generator is especially designed for low-cost hardware implementation, although the software version is also considered. For this reason, Linear Feedback Shift Registers in conjunction with cyclic rotations are employed. The proposal presents a low implementation cost and overcomes the limitations of the previous Gaussian generators based on linear feedback shift registers by means of a less complex algorithm to find optimal configurations. As a consequence, it turns into a really usable generator. Moreover, a further improvement, based on the simulated annealing algorithm, is applied in order for the random values to be better adjusted to the normal distribution.

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 556
Author(s):  
Guillermo Cotrina ◽  
Alberto Peinado ◽  
Andrés Ortiz

A new proposal to generate pseudorandom numbers with Gaussian distribution is presented. The generator is a generalization to the extended field GF(2n) of the one using cyclic rotations of linear feedback shift registers (LFSRs) originally defined in GF(2). The rotations applied to LFSRs in the binary case are no longer needed in the extended field due to the implicit rotations found in the binary equivalent model of LFSRs in GF(2n). The new proposal is aligned with the current trend in cryptography of using extended fields as a way to speed up the bitrate of the pseudorandom generators. This proposal allows the use of LFSRs in cryptography to be taken further, from the generation of the classical uniformly distributed sequences to other areas, such as quantum key distribution schemes, in which sequences with Gaussian distribution are needed. The paper contains the statistical analysis of the numbers produced and a comparison with other Gaussian generators.


2017 ◽  
Vol 10 (04) ◽  
pp. 710-717
Author(s):  
A. Ahmad ◽  
D. Al Abri ◽  
S. S. Al Busaidi ◽  
M. M. Bait-Suwailam

The authors show that in a Built-In Self-Test (BIST) technique, based on linear-feedback shift registers, when the feedback connections in pseudo-random test-sequence generator and signature analyzer are images of each other and corresponds to primitive characteristic polynomial then behaviors of faults masking remains identical. The simulation results of single stuck-at faults show how the use of such feedback connections in pseudo-random test-sequence generator and signature analyzer yields to mask the same faults.


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