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Capacity estimation of two-dimensional channels using Sequential Monte Carlo
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2014 (English)In: 2014 IEEE Information Theory Workshop, 2014, 431-435 p.Conference paper, Published paper (Refereed)
Abstract [en]

We derive a new Sequential-Monte-Carlo-based algorithm to estimate the capacity of two-dimensional channel models. The focus is on computing the noiseless capacity of the 2-D (1, ∞) run-length limited constrained channel, but the underlying idea is generally applicable. The proposed algorithm is profiled against a state-of-the-art method, yielding more than an order of magnitude improvement in estimation accuracy for a given computation time.

Place, publisher, year, edition, pages
2014. 431-435 p.
National Category
Control Engineering Computer Science Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-112966DOI: 10.1109/ITW.2014.6970868OAI: oai:DiVA.org:liu-112966DiVA: diva2:775991
Conference
Information Theory Workshop
Available from: 2015-01-06 Created: 2015-01-06 Last updated: 2015-04-23

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fulltext(454 kB)139 downloads
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Andersson Naesseth, ChristianLindsten, FredrikSchön, Thomas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf