New Non-asymptotic Random Channel Coding Theorems

preprint2013arXivOpen access

Abstract

New non-asymptotic random coding theorems (with error probability εε and finite block length nn) based on Gallager parity check ensemble and Shannon random code ensemble with a fixed codeword type are established for discrete input arbitrary output channels. The resulting non-asymptotic achievability bounds, when combined with non-asymptotic equipartition properties developed in the paper, can be easily computed. Analytically, these non-asymptotic achievability bounds are shown to be asymptotically tight up to the second order of the coding rate as nn goes to infinity with either constant or sub-exponentially decreasing εε. Numerically, they are also compared favourably, for finite nn and εε of practical interest, with existing non-asymptotic achievability bounds in the literature in general.

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