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Conference Paper: STAVES: speedy tensor-aided Volterra-based electronic simulator

TitleSTAVES: speedy tensor-aided Volterra-based electronic simulator
Authors
KeywordsTensor
Tensor decomposition
Volterra series
Nonlinear simulation
Discrete Fourier transform
Issue Date2015
Citation
The 34th IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2015), Austin, TX., 2-6 November 2015. How to Cite?
AbstractVolterra series is a powerful tool for blackbox macromodeling of nonlinear devices. However, the exponential complexity growth in storing and evaluating higher order Volterra kernels has limited so far its employment on complex practical applications. On the other hand, tensors are a higher order generalization of matrices that can naturally and efficiently capture multidimensional data. Significant computational savings can often be achieved when the appropriate low-rank tensor decomposition is available. In this paper we exploit a strong link between tensors and frequency-domain Volterra kernels in modeling nonlinear systems. Based on such link we have developed a technique called speedy tensor-aided Volterra-based electronic simulator (STAVES) utilizing high-order Volterra transfer functions for highly accurate time-domain simulation of nonlinear systems. The main computational tools in our approach are the canonical tensor decomposition and the inverse discrete Fourier transform. Examples demonstrate the efficiency of the proposed method in simulating some practical nonlinear circuit structures.
DescriptionAccepted Paper no. 228
Persistent Identifierhttp://hdl.handle.net/10722/216393

 

DC FieldValueLanguage
dc.contributor.authorLiu, H-
dc.contributor.authorXiong, X-
dc.contributor.authorBatselier, K-
dc.contributor.authorJiang, L-
dc.contributor.authorDaniel, L-
dc.contributor.authorWong, N-
dc.date.accessioned2015-09-18T05:26:14Z-
dc.date.available2015-09-18T05:26:14Z-
dc.date.issued2015-
dc.identifier.citationThe 34th IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2015), Austin, TX., 2-6 November 2015.-
dc.identifier.urihttp://hdl.handle.net/10722/216393-
dc.descriptionAccepted Paper no. 228-
dc.description.abstractVolterra series is a powerful tool for blackbox macromodeling of nonlinear devices. However, the exponential complexity growth in storing and evaluating higher order Volterra kernels has limited so far its employment on complex practical applications. On the other hand, tensors are a higher order generalization of matrices that can naturally and efficiently capture multidimensional data. Significant computational savings can often be achieved when the appropriate low-rank tensor decomposition is available. In this paper we exploit a strong link between tensors and frequency-domain Volterra kernels in modeling nonlinear systems. Based on such link we have developed a technique called speedy tensor-aided Volterra-based electronic simulator (STAVES) utilizing high-order Volterra transfer functions for highly accurate time-domain simulation of nonlinear systems. The main computational tools in our approach are the canonical tensor decomposition and the inverse discrete Fourier transform. Examples demonstrate the efficiency of the proposed method in simulating some practical nonlinear circuit structures.-
dc.languageeng-
dc.relation.ispartofIEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectTensor-
dc.subjectTensor decomposition-
dc.subjectVolterra series-
dc.subjectNonlinear simulation-
dc.subjectDiscrete Fourier transform-
dc.titleSTAVES: speedy tensor-aided Volterra-based electronic simulator-
dc.typeConference_Paper-
dc.identifier.emailLiu, H: htliu@eee.hku.hk-
dc.identifier.emailBatselier, K: kbatseli@hku.hk-
dc.identifier.emailJiang, L: jianglj@hku.hk-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityJiang, L=rp01338-
dc.identifier.authorityWong, N=rp00190-
dc.description.naturepostprint-
dc.identifier.hkuros253244-
dc.customcontrol.immutablesml 151125-

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