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We are excited to announce our publication, entitled  » Novel Distribution Matcher Design for Short Length Frames Based on Non-Binary Convolutional Codes, » that have been presented at ACP conference in Wuhan, China. 

We propose a distribution matcher that enables probabilistic constellation shaping while ensuring low-complexity dematching techniques. The proposal is based on non-binary convolutional codes, designed to respect a given optimal symbol distribution.