Macris, N
Griffiths Kelly Sherman correlation inequalities: a useful tool in the theory of error correcting codes
IEEE TRANSACTIONS ON INFORMATION THEORY
IEEE TRANSACTIONS ON INFORMATION THEORY
IEEE TRANSACTIONS ON INFORMATION THEORY
IEEE TRANSACTIONS ON INFORMATION THEORY
53
2
2007
2007
It is shown that a correlation inequality of statistical mechanics can be applied to linear low-density parity-check codes. Thanks to this tool we prove that, under a natural assumption, the exponential growth rate of regular low-density parity-check (LDPC) codes, can be computed exactly by iterative methods, at least on the interval where it is a concave function of the relative weight of code words. Then, considering communication over a binary input additive white Gaussian noise channel with a Poisson LDPC code we prove that, under a natural assumption, part of the GEXIT curve (associated to MAP decoding) can also be computed exactly by the belief propagation algorithm. The correlation inequality yields a sharp lower bound on the GEXIT curve. We also make an extension of the interpolation techniques that have recently led to rigorous results in spin glass theory and in the SAT problem.
Institute of Electrical and Electronics Engineers
0018-9448
IEEE TRANSACTIONS ON INFORMATION THEORY
Journal Articles
000243953400014