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Probability-Theoretical Models of Physical Random Number Generators
This article presents the main probability-theoretic models that describe a wide class of physical random number generators and allow us to propose general approaches to their synthesis and analysis.
期刊介绍:
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision