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MyAwesomeModel, a BERT-based feature extractor, converts sentences into dense vectors for semantic search, clustering, and NLP pipelines.
This paper proposes Dualformer, a dual-channel neural network architecture based on transformers, designed for efficient feature extraction from complex-valued signals in blind communication analysis tasks such as automatic modulation recognition, signal scheme recognition, and signal structure parsing. Extensive experiments show consistent performance improvements over existing methods.