Author(s)

Osvaldo Faggioni^1,2

¹DITEN-SEALab-ACM Laboratory, Department of Electric, Electronic, Telecommunication Engineering and Naval Architecture, University of Genova, Genova, Italy.
²Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy.

The paper discusses the quantitative definition of the s/n (signal to noise ratio) by means of new computational parameters derived (and computed) by the Fourier analysis. The theme is of great relevance when the geomagnetic observed field has high transient noise and high energy content (i.e.geomagnetic signal interfered by human activity magnetic band) and when the signal analysis action is oriented to the detection of magnetic sources characterized by quasi-punctiform size, low energy level and kinetic mechanical status (i.e.uw armed terrorist). The paper shows the results obtained introducing two new informative spectral parameters: the informative capability “C” and the enhanced informative capability “eC”. These parameters are depending on the comparison of the energy of the target signal with total field energy and they are characteristics of each elementary signal. C classifies the energy of the spectrum in two metrological bands: elementary signal informative energy E_I (band or single signal) and passive energy E_P. This metrological classification of the energy overtakes the concept of noise: each signal is part of the noise band when it is not under observation and becomes out of the band when it is under observation (numerical observation→computation). C (and eC) allows to compute the value of the “visibility” of the informative signals in a high energy geomagnetic field (or spectrum). C is a fundamental parameter for the evaluation of the effectiveness of singularity magnetic metrology in the passive detection of small magnetic sources in high noised magnetic field.

Geomatic, Informative Signal Analysis, Fourier Analysis, Geomagnetism, Metrology of Singularity, Frequency Domain Observations, S/N Manipulation

Faggioni, O. (2018) The Fourier Notation of the Geomagnetic Signals Informative Parameters. Journal of Signal and Information Processing, 9, 153-166. doi: 10.4236/jsip.2018.93009.