<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-07-22T03:34:45Z</responseDate>
  <request identifier="784" metadataPrefix="oai_dc" verb="GetRecord">https://drops.dagstuhl.de/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:drops-oai.dagstuhl.de:784</identifier>
        <datestamp>2024-03-06T11:06:53Z</datestamp>
        <setSpec>ddc:004</setSpec>
        <setSpec>open_access</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Non--binary error correcting codes with noiseless feedback, localized errors, or both</dc:title>
          <dc:creator>Ahlswede, Rudolf</dc:creator>
          <dc:creator>Deppe, Christian</dc:creator>
          <dc:creator>Lebedev, Vladimir</dc:creator>
          <dc:subject>Error-correcting codes</dc:subject>
          <dc:subject>localized errors</dc:subject>
          <dc:subject>feedback</dc:subject>
          <dc:subject>variable length codes</dc:subject>
          <dc:description>We investigate non--binary error correcting codes with noiseless feedback, localized errors, or both. It turns out that the Hamming bound is a central concept. For block codes with feedback we present here a coding scheme based on an idea of erasions, which we call the {\bf rubber method}.  It gives an optimal rate for big error correcting fraction $\tau$ ($&gt;{1\over q}$) and infinitely many points on the Hamming bound for small $\tau$.&#13;
&#13;
We also consider variable length codes with all lengths bounded from above by $n$ and the end of a word carries the symbol $\Box$ and is thus recognizable by the decoder. For both, the $\Box$-model with feedback and the $\Box$-model with localized errors, the Hamming bound is the exact capacity curve for $\tau &lt;1/2.$ Somewhat surprisingly, whereas with feedback the capacity curve coincides with the Hamming bound also for &#13;
$1/2\leq \tau \leq 1$, in this range for localized errors the capacity curve equals 0.&#13;
&#13;
Also we give constructions for the models with both, feedback and localized errors.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Rudolf Ahlswede and Christian Deppe and Vladimir Lebedev</dc:contributor>
          <dc:date>2006</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 6201, Combinatorial and Algorithmic Foundations of Pattern and Association Discovery (2006)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/DagSemProc.06201.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-7849</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06201.4</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
