DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Atik Faysal, Taha Boushine, Mohammad Rostami +5

We propose Denoising Masked Autoencoder (Deno-MAE), a novel multimodal autoencoder framework for denoising modulation signals during pretraining. DenoMAE extends the concept of mas…