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Conference Paper: Sampling theorems for continuous-time Gaussian channels

TitleSampling theorems for continuous-time Gaussian channels
Authors
Han, G
Issue Date2015
Citation
Information Theory and Applications Workshop, University of California, San Diego, USA, 1-6 February 2015 How to Cite?
AbstractWe prove sampling theorems for continuous-time Gaussian channels with possible feedback. More specifically, we show that the mutual information of the discrete-time versions of a class of continuous-time Gaussian channels, obtained through sampling in time, will converges to the mutual information of the original Gaussian channel, as the step-sizes of the samplings tend to zero.
Persistent Identifierhttp://hdl.handle.net/10722/236608

 

DC FieldValueLanguage
dc.contributor.authorHan, G-
dc.date.accessioned2016-11-30T10:07:20Z-
dc.date.available2016-11-30T10:07:20Z-
dc.date.issued2015-
dc.identifier.citationInformation Theory and Applications Workshop, University of California, San Diego, USA, 1-6 February 2015-
dc.identifier.urihttp://hdl.handle.net/10722/236608-
dc.description.abstractWe prove sampling theorems for continuous-time Gaussian channels with possible feedback. More specifically, we show that the mutual information of the discrete-time versions of a class of continuous-time Gaussian channels, obtained through sampling in time, will converges to the mutual information of the original Gaussian channel, as the step-sizes of the samplings tend to zero.-
dc.languageeng-
dc.relation.ispartofInformation Theory and Applications Workshop, 2015-
dc.titleSampling theorems for continuous-time Gaussian channels -
dc.typeConference_Paper-
dc.identifier.emailHan, G: ghan@hku.hk-
dc.identifier.authorityHan, G=rp00702-
dc.identifier.hkuros267591-

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