The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Methods and Models for the Formation of Pseudo-Random Number Sequences Based on Cellular Automata
Abstract
The chapter describes well-known models and implementation options for pseudorandom number generators based on cellular automata. Pseudorandom number generators based on synchronous and asynchronous cellular automata are briefly reviewed. Pseudorandom number generators based on one-dimensional and two-dimensional cellular automata, as well as using hybrid cellular automata, are described. New structures of pseudorandom number generators based on asynchronous cellular automata with a variable number of active cells are proposed. Testing of the proposed generators was carried out, which showed the high quality of the generators. Testing was conducted using graphical and statistical tests.
Related Content
|
Dipannita Mondal, Archana Ratnaparkhi, Abhijeet Deshpande, Vivek Deshpande, Aniruddha Prakash Kshirsagar, Sabyasachi Pramanik.
© 2023.
23 pages.
|
|
Iyyanar P., Anand R., Shanthi T., Vinay Kumar Nassa, Binay Kumar Pandey, A. Shaji George, Digvijay Pandey.
© 2023.
16 pages.
|
|
Debajit Sensarma.
© 2023.
15 pages.
|
|
Sudesh Kumar, Mamtha Prajapati, Neeraj Kumar Rathore, Sanjay Kumar Anand.
© 2023.
21 pages.
|
|
Pawan Kumar Mall, Vipul Narayan, Sabyasachi Pramanik, Swapnita Srivastava, Mohammad Faiz, Srinivasan Sriramulu, M. Naresh Kumar.
© 2023.
20 pages.
|
|
Rituraj Jain, Ramesh Babu P., Yohannes Bekuma Bakare, Endalkachew Mosisa Gutema, Wakgari Dibaba, Ankur Gupta.
© 2023.
21 pages.
|
|
Ganesh Waghmare, Suja Sundram, Bhupendra Kumar, Manju Shree Raman, Nagesh Yagnam, Harish S. Motekar, Dushyant Kaushik.
© 2023.
21 pages.
|
|
|