Expurgated Random-Coding Ensembles: Exponents, Refinements, and Connections

This paper studies expurgated random-coding bounds and exponents for channel coding with a given (possibly suboptimal) decoding rule. Variations of Gallager's analysis are presented, yielding several asymptotic and nonasymptotic bounds on the error probability for an arbitrary codeword distribu...

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Vydáno v:	IEEE transactions on information theory Ročník 60; číslo 8; s. 4449 - 4462
Hlavní autoři:	Scarlett, Jonathan, Peng, Li, Merhav, Neri, Martinez, Alfonso, Guillen i Fabregas, Albert
Médium:	Journal Article Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.08.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers (IEEE)
Témata:	Applied sciences Asymptotic methods Asymptotic properties Channels Codes Coding Coding, codes Decoding Derivation Electronic mail Encoding Error analysis Error probability Exact sciences and technology Exponents Expurgated error exponents Information theory Information, signal and communications theory IP networks Joints Lagrange multiplier Maximum-likelihood decoding Measurement Mismatched decoding Permissible error Probability distribution Random coding Reliability function Signal and communications theory Telecommunications and information theory Type class enumeration maximum-likelihood decoding reliability function random coding type class enumeration mismatched decoding Expurgated error exponents Alphabet Channel with memory Error probability Refinement method Random coding Channel coding Mismatching Maximum likelihood decoding Reliability
ISSN:	0018-9448, 1557-9654
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