Patent US 6,369,727

Patent №

US 6,369,727

Granted

Owner

Lab

AI components

1

ml

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

09466580

A random number generator (RNG) using an analog-to-digital (A/D) converter to convert random noise into digital samples which are transformed by a reductive mapping into uniformly distributed random numbers for output. The synchronous RNG may be integrated and is intended for use in all computer systems. A noise source provides random noise from electronic events involving quantum-mechanical uncertainty. A compressor amplifies noise by a level-dependent gain to provide random noise, v (t), with a stabilized standard deviation and allows the output level of a noise source to vary without affecting the output of an RNG. An n-bit A/D converter converts v (t) into a digital random variable, Y. An expedient test of an RNG is to compute the mean and standard deviation of Y. Correlation is precluded by minimizing antialiasing. An interface circuit reduces Y modulo-M, where constant M<<2n, and generates random numbers, from 0 to M&#8722;1, at the A/D converter sampling frequency.

AI classification

Machine learning0.63
AI hardware0.14
Planning0.02
Vision0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00
Knowledge representation0.00
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