Introduction to finite fields and their applications
Introduction to finite fields and their applications
Efficient and portable combined Tausworthe random number generators
ACM Transactions on Modeling and Computer Simulation (TOMACS)
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Maximally equidistributed combined Tausworthe generators
Mathematics of Computation
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Tables of maximally equidistributed combined LFSR generators
Mathematics of Computation
An Asymptotically Random Tausworthe Sequence
Journal of the ACM (JACM)
Lattice computations for random numbers
Mathematics of Computation
Software for uniform random number generation: distinguishing the good and the bad
Proceedings of the 33nd conference on Winter simulation
Synthetic Generation of Events for Address-Event-Representation Communications
PATMOS '02 Proceedings of the 12th International Workshop on Integrated Circuit Design. Power and Timing Modeling, Optimization and Simulation
Comparison of Point Sets and Sequences for Quasi-Monte Carlo and for Random Number Generation
SETA '08 Proceedings of the 5th international conference on Sequences and Their Applications
A compact and accurate Gaussian variate generator
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Polynomial pseudo-random number generator via cyclic phase
Mathematics and Computers in Simulation
Inter-spike-intervals analysis of poisson like hardware synthetic AER generation
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Hi-index | 0.01 |
An efficient implementation of linear feedback shift register sequences with a given characteristic polynomial is obtained by a new method. It involves a polynomial linear congruential generator over the finite field with two elements. We obtain maximal equidistribution by constructing a suitable output mapping. Local randomness could be improved by combining the generator's output with that of some other (e.g., nonlinear and efficient) generator.