Evaluation of TRNG Bit Distribution via Stable Entropy Source Synchronization on FPGA. [PDF]
Sato R +4 more
europepmc +1 more source
Quantum System for Generating Random Phase-Manipulated Emissions with a Controllable Electromagnetic Center. [PDF]
Litchkov N, Kurtev M, Mladenov A.
europepmc +1 more source
Gigahertz-rate thin-film lithium niobate receiver for time-bin quantum communication. [PDF]
Bernardi A +14 more
europepmc +1 more source
An image encryption scheme using PRESENT-RC4, chaos and secure key generation. [PDF]
Kumar K, Roy S, Puri D, Kumar R.
europepmc +1 more source
A robotic perturbation trainer for transverse-plane gait perturbations in pediatric cerebral palsy. [PDF]
Khawaja AR +7 more
europepmc +1 more source
Pseudorandom number generators for supercomputers and classical computers: A practical introduction. [PDF]
Kleijnen, J.P.C., Annink, B.
core
Related searches:
A New Nonlinear Pseudorandom Number Generator
IEEE Transactions on Software Engineering, 1977During the next few years a new pseudorandom number generator will become available on many computer systems. A concern for the security of computer data has led to the adoption of a Data Encryption Standard (DES) by the National Bureau of Standards. This standard specifies a nonlinear cryptographic algorithm which can be used inter alia as a source of
exaly +3 more sources
Study on Pseudorandomness of Some Pseudorandom Number Generators with Application
2013 Ninth International Conference on Computational Intelligence and Security, 2013Pseudo random numbers are important in various applications. Pseudo random number generators (PRNGs) have been used widely to provide ideal pseudo random number generating sources. Recently the researches on chaos-based PRNGs have also attracted much attention.
Lequan Min +3 more
openaire +1 more source
Modified Pseudorandom Number Generators
IEEE Transactions on Electronic Computers, 1967Pseudorandom number generator programs can be modified by a simple procedure which has particular advantages for the shorter word binary computers. The method combines the result of any conventional arithmetic generator with the current state of counters by means of a logic instruction.
Herbert C. Ratz, J. V. Hildebrand
openaire +2 more sources
Implementing a Pseudorandom Number Generator on a Minicomputer
IEEE Transactions on Software Engineering, 1977Three contemporary pseudorandom number generators: Tausworthe, GFSR, and Lehmer are implemented on a 16-bit minicomputer. Practical comparisons are made in terms of 1) ease of implementation, 2) length of period, 3) execution speed, 4) program storage space, and 5) statistical quality.
Warren V. Camp, Ted G. Lewis
openaire +2 more sources

