Spectral and windowing techniques in power spectral analyses of geomagnetic data

Details Spectral and windowing techniques in power spectral analyses of geomagnetic data Spectral and windowing techniques in power spectral analyses of geomagnetic data

Aug 1976

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1976pepi...12..217t&link_type=abstract

(International Union of Geodesy and Geophysics, Symposium on Analysis, Processing and Interpretation of Geophysical Data, Grenob

Physics

Geophysics

3

Computerized Simulation, Data Acquisition, Geomagnetism, Power Spectra, Spectrum Analysis, Data Processing, Fast Fourier Transformations, Frequency Response, Sine Waves, White Noise

Scientific paper

Comparisons of power spectra derived from known simulation data and from geomagnetic field data are made using: (1) indirect spectral estimates with the Parzen, Hamming and Papoulis windows: (2) the autoregression technique; and (3) a direct estimate with the Thomson data window (a prolate spheroidal window) and a fast Fourier transform algorithm. We show that only estimate (4) reproduces the simulation spectrum accurately and also appears to give the least-biased estimates for the geomagnetic field data.

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