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The complexity of error-correcting codes

Authors: Daniel A. Spielman;

The complexity of error-correcting codes

Abstract

By concatenating linear-time codes with small, good codes, it is possible to construct in polynomial time a family of asymptotically good codes that approach the Shannon bound that can be encoded and decoded in linear time. Moreover, their probability of decoder error is exponentially small in the block length of the codes. In this survey, we will explain exactly what this statement means, how it is derived, and what problems in the complexity of error-correcting codes remain open. Along the way, we will survey some key developments in the complexity of error-correcting codes.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Average
Top 10%
Average
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