IEEE

Dependence Analysis and Structured Construction for Batched Sparse Code

Abstract: In coding theory, codes are usually designed with a certain level of randomness to facilitate analysis and accommodate different channel conditions. However, the resulting random code ...
IEEE

Neural Network Coding Layer (NNCL): Enhancing Deep Learning Robustness Against Feature Erasure

Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...