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We present a channel-matched coding method for the compensation of dispersion in coarsely quantized coherent optical communication systems. The approach consists in optimizing a subset of equiprobable input symbols for each channel state, which is robust against dispersion and coarse quantization. This codebook optimization is solved efficiently using an iterative algorithm. The performance of the...
This paper addresses the optimization of constrained stationary Markov input processes which achieve high information rates on intersymbol-interference (ISI) channels. The considered Markov processes define an optimized subset of equiprobable input symbols for each channel state and are thus uniquely described by the set of branches in a trellis section. We propose an iterative algorithm that efficiently...
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