Time Domain

Time-domain analysis focuses on directly processing signals as functions of time, aiming to extract meaningful information and improve signal processing tasks. Current research emphasizes developing novel algorithms and neural network architectures, such as dual-path networks and multi-branch deep learning models, to enhance accuracy and efficiency in applications like audio inpainting, speech enhancement, and power system dynamics simulation. These advancements are significant because they improve the robustness and speed of various signal processing techniques, impacting fields ranging from audio engineering and medical imaging to power grid management and gravitational wave detection.