Comm-Transformer: A Robust Deep Learning-Based Receiver for OFDM System Under TDL Channel
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3343787
Abstract: In this paper, we propose a deep learning (DL) based receiver named comm-transformer network (Comm-Trans Net), which is robust for different sub-types of tapped delay line (TDL) channels. The novel Comm-Trans Net considers the attention… read more here.
Keywords: deep learning; tdl channel; comm trans; trans net ... See more keywords
TRANS-Net: Transformer-Enhanced Residual-Error AlterNative Suppression Network for MRI Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3205684
Abstract: Since deep priors could exploit more intrinsic features than handcrafted prior knowledge, unrolled reconstruction methods significantly improve image quality for fast magnetic resonance imaging (MRI) reconstruction with the combination of iterative optimization and deep neural… read more here.
Keywords: network; trans net; error; reconstruction ... See more keywords