1. A De-Noising Method for GPR Signal Based on EEMD
- Author
-
Lu Gan, Long Zhou, and Shan Mei Liu
- Subjects
Noise (signal processing) ,Computer science ,business.industry ,Speech recognition ,Echo signal ,De noising ,Pattern recognition ,General Medicine ,Low frequency ,Signal ,Wavelet ,Ground-penetrating radar ,Artificial intelligence ,business - Abstract
Aiming at the de-noising of GPR echo signal, a de-noising method based on EEMD and wavelet is presented. First the echo signal data is processed with EEMD and yields IMF components. Then the IMF components which indicate noise are subtracted. Next, the high frequency IMF components of the remaining are subjected to wavelet threshold. Finally, the signal is reconstructed using the de-noising IMF and low frequency IMF to realize signal de-noising. Compared with other commonly used methods, EEMD-wavelet method has improvement on SNR. The experiment results show its effectiveness and feasibility in GPR de-noising.
- Published
- 2014