A Refinement of Expurgation
Giuseppe Cocco, Albert Guillén i Fàbregas, Josep Font-Segura
TL;DR
The paper addresses improving error exponents via expurgation for random, pairwise-independent code ensembles. It extends Gallager's expurgation technique by proving that with high probability there exists a mother code of size $(1+\epsilon)M_n$ in which at least $M_n$ codewords attain the expurgated exponent $E_{ex}^{n}(R,Q^n)$ minus a vanishing term, $\delta_n$, as $n$ grows. The result relies on a probabilistic analysis using Markov's inequality, concentration arguments around the expurgated exponent, and a careful choice of subexponential growth sequences $\gamma_n$ to ensure $\delta_n\to 0$. This establishes that good codes — after expurgation of a vanishing fraction — are prevalent in the ensemble, and it strengthens prior existence results by showing high-probability existence of such codes for a broad class of channels, including memoryful ones.
Abstract
We show that for a wide range of channels and code ensembles with pairwise-independent codewords, with probability tending to 1 with the code length, expurgating an arbitrarily small fraction of codewords from a randomly selected code results in a code attaining the expurgated exponent.
