Automatic peak interval, relative volatility, and relative amplitude detection in high-volume temporal data
Ochoa, Edward M.; Czuchlewski, Kristina Rodriguez · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023
Various technologies pertaining to automatic relative volatility and relative amplitude detection are described herein. A spectral density of a geospatial temporal dataset is computed, and one or more frequencies of the dataset are identified. A volatility period of interest is calculated based upon the frequencies, and volatility thresholds are computed based upon the volatility period of interest. One or more periods of potential interest are detected in the dataset based upon the geospatial temporal data and the volatility thresholds. An indication of the periods of interest, an occurrence of an event captured in the dataset, or a prediction of an occurrence of an event that is of potential interest to an analyst is output.