Waveform Domain

Waveform domain research focuses on directly analyzing and processing raw signal data, bypassing traditional feature extraction steps. Current efforts concentrate on developing deep learning models, particularly convolutional neural networks and transformers, to address tasks like speech enhancement, waveform generation, and anomaly detection across diverse applications. This approach offers the potential for improved accuracy and efficiency in various fields, including audio processing, medical imaging, and radar systems, by leveraging the full information content of the raw waveform. The development of robust and interpretable models for waveform analysis is a key focus, driving advancements in both fundamental understanding and practical applications.