Abstract: The paper carries out an in-depth investigation on the neural decoder design for protograph low-density parity-check (LDPC) codes. To be specific, based on the model-driven method, we ...
Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...
Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
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