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	<title>Sparse graph code - Revision history</title>
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	<updated>2026-04-15T05:29:08Z</updated>
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		<id>https://wiki.sarg.dev/index.php?title=Sparse_graph_code&amp;diff=332627&amp;oldid=prev</id>
		<title>imported&gt;Fadesga: /* External links */</title>
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		<updated>2023-08-12T18:52:37Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;External links&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;A &amp;#039;&amp;#039;&amp;#039;Sparse graph code&amp;#039;&amp;#039;&amp;#039; is a [[code]] which is represented by a [[sparse graph]].&lt;br /&gt;
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Any [[linear code]] can be represented as a graph, where there are two sets of nodes - a set representing the transmitted [[bit]]s and another set representing the constraints that the transmitted bits have to satisfy. The state of the art classical [[error-correcting code]]s are based on sparse graphs, achieving close to the [[Shannon limit]]. The archetypal sparse-graph codes are [[Robert G. Gallager|Gallager&amp;#039;s]] [[low-density parity-check code]]s.&lt;br /&gt;
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== External links ==&lt;br /&gt;
* [http://www.inference.phy.cam.ac.uk/mackay/itila/ The on-line textbook: Information Theory, Inference, and Learning Algorithms], by [[David J.C. MacKay]], discusses sparse-graph codes in Chapters 47–50.&lt;br /&gt;
*[http://www.inference.phy.cam.ac.uk/mackay/codes/data.html Encyclopedia of Sparse Graph Codes]&lt;br /&gt;
* [http://www.cambridge.org/gb/knowledge/isbn/item2711886/?site_locale=en_GB Iterative Error Correction: Turbo, Low-Density Parity-Check, and Repeat-Cccumulate Codes]&lt;br /&gt;
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[[Category:Matrix theory]]&lt;br /&gt;
[[Category:Error detection and correction]]&lt;br /&gt;
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{{matrix-stub}}&lt;/div&gt;</summary>
		<author><name>imported&gt;Fadesga</name></author>
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