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Since <math>G\,</math> is a bipartite graph, we may consider its <math>n \times m\,</math> adjacency matrix. Then the linear code <math>C\,</math> generated by viewing the transpose of this matrix as a parity check matrix is an expander code.
It has been shown that nontrivial lossless expander graphs exist. Moreover, we can explicitly construct them.<ref name="lossless">
==Rate==
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==Encoding==
The encoding time for an expander code is upper bounded by that of a general linear code - <math>O(n^2)\,</math> by matrix multiplication. A result due to Spielman shows that encoding is possible in <math>O(n)\,</math> time.<ref name="spielman">{{cite journal |first=D. |last=Spielman
==Decoding==
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==Notes==
This article is based on Dr. Venkatesan Guruswami's course notes.<ref>{{cite
{{cite web |first=V. |last=Guruswami |title=Notes 8: Expander Codes and their decoding |date=March 2010 |work=Introduction to Coding Theory |publisher=Carnegie Mellon University |url=http://www.cs.cmu.edu/~venkatg/teaching/codingtheory/notes/notes8.pdf |format=PDF}}<br/>
{{cite journal |first=V. |last=Guruswami |title=Guest column: error-correcting codes and expander graphs |journal=ACM SIGACT News |volume=35 |issue=3 |pages=25–41 |date=September 2004 |doi=10.1145/1027914.1027924 |url=http://dl.acm.org/citation.cfm?id=1027924}}</ref>
==References==
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