WCC-Net : Lightweight automatic modulation recognition of integrated underwater acoustic signals

Key Points

• Automatic modulation recognition achieves higher accuracy with integrated underwater acoustic signals, optimizing detection performance.
• The model utilizes a lightweight algorithm based on deep learning to process complex underwater signals efficiently.
• Assessment employs advanced signal processing techniques to enhance recognition speed and accuracy for real-time applications.
• This approach highlights the importance of deep learning in improving underwater communication systems; further scalability studies needed.