Gravity sources identification using continuous wavelet transform

Wavelet transform is one of the useful and suitable tools for time series and signal analysis. Nowadays wavelet transform is frequently used in geophysical data processing and interpretation, especially seismic data. However, the use of this method isn’t widespread in gravity and geomagnetic. Fedi and Quarta (1998), Martelet et al. (2001) and de Oliveira Lyrio (2004) used the wavelet transform for processing and interpretation of the potential field data. In this paper, a new method based on continuous wavelet transform for determination of depth and location of gravity anomalies is introduced. Continuous Wavelet Transform and Gravity Source Identification: All of the time-frequency or time-scale transforms intend to show how the energy of a signal is distributed in time-frequency or time-scale plan. The Continuous Wavelet Transform (CWT) maps the time (space) domain signal into the time (space)-scale plan. The CWT of a signal is defined as the convolution of signal with a translated and scaled wavelet (Equation (1)).