A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time
The research develops a new mathematical framework for smoothing temporal signals across multiple scales while respecting time-causality and time-recursivity. It introduces a canonical time-causal limit kernel that guarantees scale covariance, allowing for consistent analysis of temporal phenomena. This provides a rigorous method for modeling perceptual systems and biological signals.