Data Augmentation Method Based on Improved GAN for Underwater Acoustic Signals
Underwater acoustic target recognition based on deep learning encounters significant constraints due to the scarcity of labeled samples, which often leads to model overfitting and diminished generalization performance. To tackle this critical challenge, this study introduces a novel data augmentation framework grounded...