Sliding-Window Turbo Equalization and Its Reduced-Complexity Decoding Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169505
Abstract: Turbo equalization is a cooperative error-correcting approach to achieve a target bit-error rate over inter-symbol interference channels. In this paper, we proposed a new turbo equalization, called sliding-window turbo equalization (SW-TE), consisting of the Bahl-Cocke-Jelinek-Raviv… read more here.
Keywords: turbo equalization; window turbo; sliding window; equalization ... See more keywords
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2020.2976479
Abstract: Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts. The application of deep neural networks (DNN) allows flexible statistical analysis of complicated fiber-optic systems… read more here.
Keywords: teq; turbo equalization; nonlinearity; fiber optic ... See more keywords