Rate-Matched Turbo Autoencoder: A Deep Learning Based Multi-Rate Channel Autoencoder
Author:
Affiliation:
1. University of California, Los Angeles,Los Angeles,USA
2. SOC Lab., Samsung Semiconductor Inc.,San Diego,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278629.pdf?arnumber=10278629
Reference19 articles.
1. LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks
2. ProductAE: Toward Training Larger Channel Codes based on Neural Product Codes
3. Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels;jiang;Advances in neural information processing systems,2019
4. List autoencoder: Towards deep learning based reliable transmission over noisy channels;saber;ar Xiv preprint,2021
5. Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes
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