Research on TEM Signal De-noising of Large-fixed Loop Devices
Rui Yang, Xi’an Zhu · International Conference on Electronics, Communications and Control · 2012
The late signals of measured transient electromagnetic data are generally weak and with violent oscillation due to being influenced by various noises. De-noising methods, including algorithms of Wavelet, three-point-filter as well as three-point exponential approximation, to increase the SNR of TEM signal are analyzed and studied in this paper. Upon simulation comparison of these methods, multi-scale Wavelet analysis method presents its superiority than other noise cancellation methods. The satisfied de-noising results via this method can realized using the wavelet Sym6 method with 5 layer decomposition and hard threshold function. The simulation results and improved SNR values prove this method has better effects for TEM signal de-noising.