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arXiv · 1405.0102

Capacity estimation of two-dimensional channels using Sequential Monte Carlo

Christian A. Naesseth·Fredrik Lindsten·Thomas B. Schön
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Abstract

We derive a new Sequential-Monte-Carlo-based algorithm to estimate the capacity of two-dimensional channel models. The focus is on computing the noiseless capacity of the 2-D one-infinity run-length limited constrained channel, but the underlying idea is generally applicable. The proposed algorithm is profiled against a state-of-the-art method, yielding more than an order of magnitude improvement in estimation accuracy for a given computation time.

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Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön. 2014-05-01. Capacity estimation of two-dimensional channels using Sequential Monte Carlo. https://arxiv.org/abs/1405.0102

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