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Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
Invention Summary:
Recently deep neural networks have been successfully applied in channel coding to improve the decoding performance. However, the state-of-the-art neural channel decoders cannot achieve high decoding performance and low complexity simultaneously.
To overcome this challenge, Rutgers researcher have developed a novel doubly residual...
Published: 12/8/2021
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Inventor(s): Bo Yuan, Chunhua Deng, Siyu Liao
Keywords(s): Electronics, Wireless
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Electronics/Semiconductor, Technology Classifications > Software & Algorithms, Technology Classifications > Telecommunications & Networking, Technology Classifications > Software & Copyright, Technology Classifications > Physical Sciences & Engineering
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