  A fiber optic channel is modeled in a variety of ways; from the simple
additive white complex Gaussian noise model, to models that incorporate memory
in the channel. Because of Kerr nonlinearity, a simple model is not a good
approximation to an optical fiber. Hence we study a fiber optic channel with
finite memory and provide an achievable bound on channel capacity that improves
upon a previously known bound.
