Determination of electrical signal masked by random noise using «super-averaged» functions

L. Alfano, M. Giudici

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.

Keywords


Electrical methods;electromagnetic methods;data acquisitions;data processing;signal to-noise radio

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References


DOI: https://doi.org/10.4401/ag-3637
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Published by INGV, Istituto Nazionale di Geofisica e Vulcanologia - ISSN: 2037-416X