Name
Abstract | ||
|---|---|---|
Digital-based random number generators (RNGs) usually have better performances than analog methods since they are simply structured, programmable and robust. However, it is inevitable for digital realizations to suffer from the effect of finite precision. Accordingly, the produced random numbers (RNs) are actually periodic. To tackle this problem, in this study, we propose a novel digital-analog hybrid scheme with minimum number of analog to generate physical RNs. Moreover, the possibility to complete the scheme with only one memory element is discussed. Without loss of generality, we use the field programmable gate array (FPGA) and a memristor to construct a hybrid system, and a chaotic true random number generator (TRNG) circuit is realized, producing physical RNs at Gbit/s level. |
Year | Venue | Field |
|---|---|---|
2017 | ICSPS | Topology,Gigabit,Memristor,Computer science,Field-programmable gate array,Without loss of generality,Random number generation,Chaotic,Periodic graph (geometry),Hybrid system |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeshi Yuan | 1 | 0 | 0.34 |
| Hongtao Li | 2 | 0 | 0.34 |
| Wen Hu | 3 | 1373 | 104.78 |
| Xiaohua Zhu | 4 | 46 | 9.50 |