It is often useful in multivariate time series analysis to determine statistical causal relations between different time series. Granger causality is a fundamental measure for this purpose. Yet the traditional pairwise approach to Granger causality analysis may not clearly distinguish between direct causal influences from one time series to another and indirect ones acting through a third time ...

The continuous wavelet transform has been used with much success in the analysis of non-stationary time series. It has been used much less frequently in the interpretation of magnetic or gravity data, although several approaches have been tried. A simple method of obtaining location and depth estimates of gravity and magnetic field sources is suggested here. For gravity data the method uses wav...

Given a potential field on a plane, the set of source distributions that could generate the field is easily represented in the Fourier domain. The resulting solutions show a range of variability far larger than expected by many practitioners. This variability can be reduced or eliminated by seeking solutions that also minimize a regularizing functional expressing extra information regarding the...

The genetic algorithm is of advantages to solve an inversion of complex non-linear geophysical equations. Its multi-point searching is able to find the globally optimal solution and avoid falling into a local extremum. The searching efficiency of the genetic algorithm is a key to successfully resolve a geophysical inversion problem in a huge model space with multi-parameters. Encoding mechanism...

Interpretation of gravity and magnetic data for exploration applications may be based on pattern recognition in which geophysical signatures of geologic features associated with localized characteristics are sought within data. A crucial control on what comprises noticeable and comparable characteristics in a data set is how images displaying those data are enhanced. Interpreters are provided w...

In this paper, we describe the visualization of the potential eld on the scalp and on the cortical surface. The surfaces are derived from magnetic resonance imaging data and the potential elds are reconstructed as the solution to an inverse problem. The visualization tool is validated with clinical studies.

By analysing potential field data in the wavelet domain and performing a multi scale edge detection we can automate what in geologic jargon is commonly called 'worm analysis', i.e., the traditional visual inspection of gravity and aeromagnetic data in order to detect shallow faults, lineaments, contacts etc. More importantly, with the use of an appropriate wavelet, defined by the physics of the...

the study was conducted among the two farmer groups in bhaktapur and kavre districts of nepal. the main objective of the study is to evaluate the differences in belief, attitude and practices felt by the farmers after participation in the ipm ffs. the study has been based on data collected through personal interview with the farmers, focus group discussion, personal observation in the farmers f...