Scarlett, JonathanPeng, LiMerhav, NeriMartínez, Alfonso, 1973-Guillén i Fábregas, A. (Albert)2018-12-072018-12-072014Scarlett J, Peng L, Merhav N, Martinez A, Guillén A. Expurgated random-coding ensembles: exponents, refinements and connections. IEEE Trans Inf Theory. 2014;60(8):4449-62. DOI: 10.1109/TIT.2014.23220330018-9448http://hdl.handle.net/10230/36016This 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 distribution. A simple nonasymptotic bound is shown to attain an exponent of Csiszár and Körner under constant-composition coding. Using Lagrange duality, this exponent is expressed in several forms, one of which is shown to permit a direct derivation via cost-constrained coding that extends to infinite and continuous alphabets. The method of type class enumeration is studied, and it is shown that this approach can yield improved exponents and better tightness guarantees for some codeword distributions. A generalization of this approach is shown to provide a multiletter exponent that extends immediately to channels with memory.application/pdfeng© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/TIT.2014.2322033info:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TIT.2014.2322033Expurgated error exponentsReliability functionRandom codingMismatched decodingMaximum-likelihood decodingType class enumerationinfo:eu-repo/semantics/openAccess