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 this paper 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.
Determination of electrical signal masked by random noise using "super-averaged" functions / L. Alfano, M. Giudici. - In: ANNALI DI GEOFISICA. - ISSN 1590-1815. - 43:2(2000), pp. 249-258.
Determination of electrical signal masked by random noise using "super-averaged" functions
M. GiudiciUltimo
2000
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 this paper 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.Pubblicazioni consigliate
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