DL-Based Modulation Classification

This repository contains a reimplementation and extension of a deep learning framework for automatic modulation classification, inspired by the paper Toward Next-Generation Signal Intelligence. The original architecture combines a CNN for raw IQ samples with an MLP for handcrafted features, which are fused before classification. This project replicates the original setup and replaces the fusion mechanism with self-attention and cross-attention modules.