Recovering Missing Time Series Data with Isometric Delay-Embedding

This ArXiv paper proposes a novel method for recovering missing data in multidimensional time series, a common problem in fields utilizing temporal data. The use of isometric delay-embedding techniques suggests a focus on preserving geometric properties during reconstruction, potentially leading to accurate results.

• •Addresses the problem of missing data in multidimensional time series.
• •Employs temporal isometric delay-embedding transform.
• •Potentially offers improved accuracy in data reconstruction.