Title :
New non-asymptotic random channel coding theorems
Author :
En-Hui Yang ; Jin Meng
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
New non-asymptotic random coding theorems (with error probability ϵ and finite block length n) based on Gallager parity check ensemble are established for binary input arbitrary output channels. The resulting non-asymptotic achievability bounds, when combined with non-asymptotic equipartition properties, 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 n goes to infinity with either constant or sub-exponentially decreasing ϵ. Numerically, they are also compared favourably, for finite n and ϵ of practical interest, with existing non-asymptotic achievability bounds in the literature in general.
Keywords :
channel capacity; channel coding; probability; Gallager parity check ensemble; binary input arbitrary output channels; nonasymptotic achievability bounds; nonasymptotic equipartition properties; nonasymptotic random channel coding theorems; Capacity planning; Decoding; Error probability; Linear codes; Parity check codes; Channel capacity; Gallager parity check ensemble; non-asymptotic coding theorems; non-asymptotic equipartition properties; random linear codes;
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2013
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4648-1
DOI :
10.1109/ITA.2013.6502988