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Joint Source–Channel Coding via Compressed Distribution Matching in Fiber-Optic Communications

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Abstract

The variability of source entropy due to data idling is inconsistent with most studies’ assumptions in probabilistic shaping. We propose a distribution matcher sensitive to the source entropy, and discuss its impacts on fiber-optic communications.

© 2019 The Author(s)

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