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Fast-Fourier-Transform Spectral-Analysis Techniques as a Plasma Fluctuation Diagnostic Tool

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3 Author(s)
D. E. Smith ; Department of Electrical Engineering the University of Texas at Austin Austin, Texas 78712 ; E. J. Powers ; G. S. Caldwell

A review is given of the key ideas involved in computing power spectral density functions from fast-Fourier-transformed plasma fluctuation data. Next a model is described which enables one to determine, from the computer-generated power spectra, the amplitude, frequency, and wavenumber of each of several waves present in the plasma. The potential of digitally implemented spectral analysis techniques as a plasma diagnostic tool is demonstrated in an experiment study of the evolution, and ultimate turbulent destruction, of a multi-mode drift wave spectrum.

Published in:

IEEE Transactions on Plasma Science  (Volume:2 ,  Issue: 4 )