Time Delay Estimation

Time delay estimation (TDE) focuses on accurately determining the time difference between related signals, a crucial task across diverse fields. Current research emphasizes robust methods that handle variable or uncertain delays, moving beyond traditional assumptions of constant delays, and explores advanced techniques like neural networks (including shift-equivariant architectures) and digital lock-in filtering to improve accuracy and efficiency. These advancements are impacting applications ranging from speaker localization and acoustic pyrometry to predictive modeling in complex data environments, improving the precision and reliability of measurements and predictions.

Papers