Cascade-KDE is a training-free framework for restoring corrupted time series that estimates a temporal-amplitude density, applies density-truncated robust expectation, and refines via exponential cascade to preserve local structure and derivatives.
Frontiers of Information Technology & Electronic Engineering25(1), 19–41 (Dec 2023)
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Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions
Cascade-KDE is a training-free framework for restoring corrupted time series that estimates a temporal-amplitude density, applies density-truncated robust expectation, and refines via exponential cascade to preserve local structure and derivatives.