Empirical Frequency Band Analysis of Nonstationary Time Series.

ABSTRACT: The time-varying power spectrum of a time series process is a bivariate function that quantifies the magnitude of oscillations at different frequencies and times. To obtain low-dimensional, parsimonious measures from this functional parameter, applied researchers consider collapsed measures of power within local bands that partition the frequency space. Frequency bands commonly used in the scientific literature were historically derived, but they are not guaranteed to be optimal or justified for adequately summarizing information from a given time series process under current study. There is a dearth of methods for empirically constructing statistically optimal bands for a given signal. The goal of this article is to provide a standardized, unifying approach for deriving and analyzing cust

SUBMITTER: Bruce SA 

PROVIDER: S-EPMC8186526 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature