Capacity estimation of two-dimensional channels using Sequential Monte   Carlo
  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. 
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Sch\"on
cs.IT math.IT stat.CO