A new design of channel denoiser using residual autoencoder
S Han, J Kim, HY Song - Electronics Letters, 2023 - Wiley Online Library
A joint neural network decoder and denoiser scheme demonstrated superior performance
compared to individual modules. However, there is still a limitation that the existing …
compared to individual modules. However, there is still a limitation that the existing …
A Simple Neural-Network-Based Decoder for Short Binary Linear Block Codes
K Hsieh, YW Lin, SI Chu, HC Chang, MY Cho - Applied Sciences, 2023 - mdpi.com
The conventional soft decision decoding (SDD) methods require various hard decision
decoders (HDDs) based on different codes or re-manipulate the generator matrix by the …
decoders (HDDs) based on different codes or re-manipulate the generator matrix by the …
[PDF][PDF] Residual learning denoiser 를적용한Hyper-Graph-Network 복호기
S Han, J Kim, H Song - 2022 - coding.yonsei.ac.kr
Reed-Solomon Codes Page 1 Residual learning denoiser를 적용한 Hyper-Graph-Network
복호기 sy.han@yonsei.ac.kr CCL 2022.01.12 2022 한국통신학회 동계학술대회 Soyoung Han …
복호기 sy.han@yonsei.ac.kr CCL 2022.01.12 2022 한국통신학회 동계학술대회 Soyoung Han …
[PDF][PDF] Denoising autoencoder 를이용한새로운구조의채널denoiser
한소영， 김정현， 송홍엽 - 한국통신학회학술대회논문집, 2022 - coding.yonsei.ac.kr
Reed-Solomon Codes Page 1 Denoising autoencoder를 이용한 새로운 구조의 채널 denoiser
sy.han@yonsei.ac.kr kimjh@sch.ac.kr hysong@yonsei.ac.kr 2022.06.23. 2022 한국통신학회 …
sy.han@yonsei.ac.kr kimjh@sch.ac.kr hysong@yonsei.ac.kr 2022.06.23. 2022 한국통신학회 …
[PDF][PDF] Residual learning denoiser 를적용한Hyper-Graph-Network 복호기
한소영， 김정현， 송홍엽 - 한국통신학회 …, 2022 - journal-home.s3.ap-northeast-2 …
요 약본 논문은 기존 Hyper-Graph-Network (HGN) 복호기에 residual learning denoiser 을
접목한모델의 성능분석을 다룬다. 실험을 통해 제안한 모델이 기존 HGN 복호기보다 향상된 …
접목한모델의 성능분석을 다룬다. 실험을 통해 제안한 모델이 기존 HGN 복호기보다 향상된 …