Name
Abstract | ||
|---|---|---|
In this paper, we propose a Sliding Window Method (SWM) to calculate absolute value based on the stochastic computing. We prove that the absolute value of the stochastic stream can be obtained from the limiting distribution of the Markov chain by establishing a Markov model of SWM. The proposed schemes can be employed to both unipolar and bipolar stochastic streams. The simulation and design reports show that the hardware efficiency of the proposed stochastic absolute value calculator is as four times as existing methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCAS.2014.6865141 | ISCAS |
Keywords | Field | DocType |
stochastic absolute value,unipolar stochastic stream,stochastic computing,markov model,stochastic absolute value calculator,sliding window method (swm),bipolar stochastic stream,high performance absolute value calculator,markov chain,formal logic,markov processes,sliding window method,swm,accuracy,hardware,computational modeling,registers | Markov process,Markov property,Markov model,Control theory,Computer science,Markov chain,Markov decision process,Algorithm,Theoretical computer science,Continuous-time stochastic process,Variable-order Markov model,Stochastic computing | Conference |
ISSN | Citations | PageRank |
0271-4302 | 1 | 0.36 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangyun Zhou | 1 | 5 | 1.83 |
| Hu Jianhao | 2 | 96 | 20.56 |
| Jienan Chen | 3 | 17 | 8.93 |