Title :
Digital processing of ionospheric electron content data
Author :
Bernhardt, Paul A.
Author_Institution :
Stanford University, Stanford, CA, USA
fDate :
12/1/1979 12:00:00 AM
Abstract :
Ionospheric electron content data contain periodicities that are produced by a diversity of sources including hydromagnetic waves, gravity waves, and lunar tides. Often these periodicities are masked by the strong daily variation in the data. Digital filtering can be used to isolate the weaker components. The filtered data can then be further processed to provide estimates of the source properties. In addition, homomorphic filtering may be used to identify nonlinear interactions in the ionosphere.
Keywords :
Atmosphere; Electrons; Filtering; Frequency; Ionosphere; Magnetohydrodynamics; Moon; Plasma applications; Plasma materials processing; Tides;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1979.1163328