Schuster spectrum

E1018068

The Schuster spectrum is a method in time-series analysis that uses harmonic analysis to detect and characterize periodicities in observational data, particularly in geophysics and astronomy.

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Statements (46)

Predicate Object
instanceOf spectral analysis technique
statistical method
time series analysis method
analyzes observational data
time series
appliesTo astronomical time series
geophysical time series
unevenly sampled time series
assumes sinusoidal components in the data
basedOn Fourier analysis NERFINISHED
periodogram concept
canEstimate frequency of a signal
period of a signal
power of a signal component
category signal processing
spectral estimation method
statistical signal analysis
characterizes amplitude of periodic components
significance of periodic components
detects dominant frequencies
harmonic components
periodic signals
domain frequency domain
field astronomy
astrophysics
geophysics
space physics
time series analysis
input scalar time series
time-stamped measurements
namedAfter Arthur Schuster NERFINISHED
output power as a function of frequency
spectral peaks at periodicities
purpose characterize periodicities in observational data
detect periodicities in observational data
relatedTo Lomb–Scargle periodogram NERFINISHED
Schuster test for periodicity
periodogram
usedFor analysis of irregularly spaced observations
searching for periodicities in astronomical records
searching for periodicities in geophysical records
usedIn analysis of geomagnetic variations
analysis of solar activity time series
analysis of stellar variability
analysis of tidal records
uses harmonic analysis

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Arthur Schuster knownFor Schuster spectrum