Abstract
The independent component analysis (ICA) was introduced for the filtering of the ultra-low electromagnetic (ULEM) detection curves. Simulated datasets were first used to validate the effectiveness of ICA in the filtering. The real datasets were then used to evaluate and compare the performance of the proposed filtering method. The results show that filtering of the ULEM signals based on ICA is feasible. Moreover, the proposed filtering method could effectively suppress the noise and enhance the valuable features of the curves, which facilitates geological interpretation of the resulting curves. Some issues are also discussed.
Original language | English (US) |
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Pages (from-to) | 621-627 |
Number of pages | 7 |
Journal | Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis |
Volume | 45 |
Issue number | 4 |
State | Published - Jul 2009 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General
Keywords
- Coal-bed methane
- Filtering
- Independent component analysis
- Ultra-low electromagnetic detection