Blind Decoding-Metric Estimation for Probabilistic Shaping via Expectation Maximization

Autor:	Steiner, Fabian, Schulte, Patrick, Böcherer, Georg
Rok vydání:	2018
Předmět:	Computer Science - Information Theory
Druh dokumentu:	Working Paper
Popis:	An unsupervised learning approach based on expectation maximization is proposed to obtain the parameters of a soft decision forward error correction decoding metric for probabilistic shaping. The algorithm depends only on the channel observations and does not require transmitted data. Comment: Accepted for ECOC 2018 (Rome), Th1H.3
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1806.10062 Zobrazit plný text záznamu View this record from Arxiv