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Feb, 2024
DeepPolar: 利用深度学习发明非线性大核极化码
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
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S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
TL;DR
通过扩展核心大小，我们研究了一种新型的极化码，称为DeepPolar码，结果表明DeepPolar码有效地利用了更大的核心大小的优势，从而在可靠性上优于现有的神经码和传统的极化码。
Abstract
polar codes
, developed on the foundation of Arikan's polarization kernel, represent a breakthrough in coding theory and have emerged as the state-of-the-art
error-correction-code
in short-to-medium
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