Agniva Banerjee

Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract)

This paper introduces a multi-modal masked autoencoder (MMAE) that jointly denoises and classifies signals by fusing time-domain IQ sequences and constellation diagrams within a cross-attentive transformer. This approach treats noise as a learnable modality to enhance robustness, a dynamic masking c