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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peng Xu Horiuchi, T. Abshire, P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD (Peng Xu; Horiuchi, T.; Abshire, P.) |
| Abstract | In this paper, we describe a method for transient stochastic analysis and apply it to develop a stochastic model for a true random number generator (RNG) circuit using intrinsic circuit noise. We use numerical simulation of stochastic differential equations to obtain time-domain transient analysis of the circuit. The simulation shows similar stochastic behavior and probability tuning as that observed in measurements of the fabricated chips. We further develop a small signal stochastic model of the circuit. The model reveals the role each device plays in contributing to overall stochastic behavior. The model and the simulation allow us to predict how the device parameters affect the performance. The method we propose here can be applied to other circuits where stochastic sample paths and ensemble statistics are necessary to characterize the circuits. Traditional noise analysis in the frequency domain is not adequate to provide this information. |
| Starting Page | 2977 |
| Ending Page | 2980 |
| File Size | 385680 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416837 |
| DOI | 10.1109/ISCAS.2008.4542083 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Circuit simulation Random number generation Stochastic resonance Transient analysis Circuit noise Predictive models Numerical simulation Differential equations Time domain analysis |
| Content Type | Text |
| Resource Type | Article |
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