An Efficient Generation Method for Uniformly Distributed Random Numbers
Problems of Information Transmission
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Randomized algorithm in embedded crypto module
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
The design of random number generator in an embedded crypto module
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
An adaptive filter mechanism of random number generator in a crypto module
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
The fuzzy engine for random number generator in crypto module
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part II
Exact output rate of Peres's algorithm for random number generation
Information Processing Letters
Hi-index | 754.84 |
The problem of converting a sequence of symbols generated by a Bernoulli source into an unbiased random sequence is well-known in information theory. The proposed method is based on Elias' (1972) algorithm in which the sequence of symbols is divided into blocks of length N,N⩾1. We suggest a new method of constructing an unbiased random sequence which uses O(Nlog2N) bits of memory and takes O(log8Nloglog(N)) bit operations per letter