Abstract | ||
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Weakly coupled oscillators have shown promise as a computational building block that exploits the power of emerging low power high density nano-devices such as spin torque oscillators and vanadium oxide oscillators. In this paper, we develop a new analytic phase model as well as a circuit simulation to show how clusters and arrays of coupled oscillators can be inserted into three different stages of an image processing pipeline and provide comparable image recognition performance to traditional methods.
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Year | DOI | Venue |
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2014 | 10.1109/ICCAD.2014.7001336 | ICCAD |
Keywords | Field | DocType |
oscillator arrays,spin torque oscillators,video signal processing,video analytic applications,image processing,integrated circuit modelling,nanodevices,image recognition,coupled circuits,analytic phase model,ppv phase model,hmax,computer vision,vo,vanadium oxide oscillators,coupled oscillators,oscillators,circuit simulation,couplings,pipelines,computational modeling,mathematical model,synchronization | Cluster (physics),Synchronization,Pipeline transport,Oscillation,Coupling,Computer science,Synchronization networks,Image processing,High density,Electronic engineering | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-4799-6277-8 | 1 |
PageRank | References | Authors |
0.40 | 11 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yan Fang | 1 | 6 | 2.02 |
Victor V. Yashin | 2 | 1 | 0.73 |
Andrew J. Seel | 3 | 3 | 0.86 |
Brandon B. Jennings | 4 | 4 | 1.55 |
Reggie Barnett | 5 | 1 | 0.40 |
Donald M. Chiarulli | 6 | 213 | 24.91 |
Steven P. Levitan | 7 | 288 | 60.98 |