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Conference Paper: The ARMK(k) Gaussian feedback capacity

TitleThe ARMK(k) Gaussian feedback capacity
Authors
Issue Date2017
Citation
The 2017 Information Theory and Applications Workshop, Pacific Beach, San Diego, USA, 12-17 February 2017 How to Cite?
AbstractUsing Kim's variational formulation (with a slight yet important modification), we derive the ARMA(k) Gaussian feedback capacity, i.e., the feedback capacity of an additive channel where the noise is a k-th order autoregressive moving average Gaussian process. More specifically, the ARMA(k) Gaussian feedback capacity is expressed as a simple function evaluated at a solution to a system of polynomial equations, which proves to have only finitely many solutions for some small k and possibly beyond.
DescriptionFeedback capacity
Persistent Identifierhttp://hdl.handle.net/10722/252556

 

DC FieldValueLanguage
dc.contributor.authorHan, G-
dc.date.accessioned2018-04-25T02:31:34Z-
dc.date.available2018-04-25T02:31:34Z-
dc.date.issued2017-
dc.identifier.citationThe 2017 Information Theory and Applications Workshop, Pacific Beach, San Diego, USA, 12-17 February 2017-
dc.identifier.urihttp://hdl.handle.net/10722/252556-
dc.descriptionFeedback capacity-
dc.description.abstractUsing Kim's variational formulation (with a slight yet important modification), we derive the ARMA(k) Gaussian feedback capacity, i.e., the feedback capacity of an additive channel where the noise is a k-th order autoregressive moving average Gaussian process. More specifically, the ARMA(k) Gaussian feedback capacity is expressed as a simple function evaluated at a solution to a system of polynomial equations, which proves to have only finitely many solutions for some small k and possibly beyond. -
dc.languageeng-
dc.relation.ispartofThe 2017 Information Theory and Applications Workshop-
dc.titleThe ARMK(k) Gaussian feedback capacity-
dc.typeConference_Paper-
dc.identifier.emailHan, G: ghan@hku.hk-
dc.identifier.authorityHan, G=rp00702-
dc.identifier.hkuros282394-

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