Determination of electrical signal masked by random noise using «super-averaged» functions
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Abstract
Electrical and electromagnetic methods often require the determination of the amplitude of a periodic signal,produced by controlled sources and masked by natural and artificial noise. Since noise is usually random and uncorrelated, several techniques based on a stacking procedure and spectral decomposition are applied. In thispaper we revise some of these procedures based on Fourier analysis. We propose a technique which uses «super-averaged»functions obtained from the average of the results of the Fourier analysis from the whole data set.
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How to Cite
Alfano, L. and Giudici, M. (2000) “Determination of electrical signal masked by random noise using «super-averaged» functions”, Annals of Geophysics, 43(2). doi: 10.4401/ag-3637.
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