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A Simplified MLSE Algorithm Based on Absolute Distance Measurement Model

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Abstract

We propose a simplified maximum likelihood sequence estimation based on Viterbi algorithm. Experimental results show that compared with the conventional MLSE, the proposed algorithm saves the multiplication by 25% with only ~ 0.15 dB sensitivity penalty.

© 2017 Optical Society of America

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