Title :
How to prove the Maxwell conjecture via spatial coupling — A proof of concept
Author :
Giurgiu, Andrei ; Macris, Nicolas ; Urbanke, Rüdiger
Author_Institution :
Sch. of Comput. & Commun. Sci, EPFL, Lausanne, Switzerland
Abstract :
Investigations on spatially coupled codes have lead to the conjecture that, in the infinite size limit, the average input-output conditional entropy for spatially coupled low-density parity-check ensembles, over binary memoryless symmetric channels, equals the entropy of the underlying individual ensemble. We give a self-contained proof of this conjecture for the case when the variable degrees have a Poisson distribution and all check degrees are even. The ingredients of the proof are the interpolation method and the Nishimori identities. We explain why this result is an important step towards proving the Maxwell conjecture in the theory of low-density parity-check codes.
Keywords :
Poisson distribution; entropy codes; interpolation; parity check codes; Maxwell conjecture; Nishimori identity; Poisson distribution; average input-output conditional entropy; binary memoryless symmetric channel; interpolation method; low-density parity-check codes; self-contained proof; spatially coupled code; spatially coupled low-density parity-check ensemble; Compressed sensing; Couplings; Entropy; Graphical models; Interpolation; Parity check codes; Windows;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284230