How Quickly Can We Approach Channel Capacity?

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage1096en_US
dc.citation.lastpage1100en_US
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber1en_US
dc.contributor.authorBaron, Droren_US
dc.contributor.authorKhojastepour, Mohammaden_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:36:35Zen_US
dc.date.available2007-10-31T00:36:35Zen_US
dc.date.issued2004-11-01en_US
dc.date.modified2006-06-06en_US
dc.date.note2006-06-06en_US
dc.date.submitted2004-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractRecent progress in code design has made it crucial to understand how quickly communication systems can approach their limits. To address this issue for the channel capacity C, we define the nonasymptotic capacity C/sub NA/(n, /spl epsi/) as the maximal rate of codebooks that achieve a probability /spl epsi/ of codeword error while using codewords of length n. We prove for the binary symmetric channel that C/sub NA/(n,/spl epsi/)=C-K(/spl epsi/)//spl radic/n+o(1//spl radic/n), where K(/spl epsi/) is available in closed form. We also describe similar results for the Gaussian channel. These results may lead to more efficient resource usage in practical communication systems.en_US
dc.identifier.citationD. Baron, M. Khojastepour and R. G. Baraniuk, "How Quickly Can We Approach Channel Capacity?," vol. 1, 2004.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2004.1399310en_US
dc.identifier.urihttps://hdl.handle.net/1911/19721en_US
dc.language.isoengen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleHow Quickly Can We Approach Channel Capacity?en_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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