Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (3): 241-245.

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Peak Interference Filtering Method for Surface Nuclear Magnetic Resonance Signals Based on Median of Standard Deviation

LI Tonga,b, LIN Haoa,b, TIAN Baofenga,b, LIN Juna,b   

  1. a. College of Instrumentation and Electrical Engineering; b. Key Laboratory of GeoExploration Instrumentation, Ministry of Education, Jilin University, Changchun 130026, China
  • Received:2014-12-25 Online:2015-05-23 Published:2015-07-25

Abstract:

Signals reliability of SNMR(Surface Nuclear Magnetic Resonance) is seriously influenced spiky noise caused by operating engineering machinery, in order to solve the problem an algorithm based on the median of standard deviation is developed and operated on artificial SNMR signals. This technique is designed to conduct threshold comparison to recognize and delete those spiky noise of strong randomness and high amplitude. By operating this method on artificial and field SNMR signals, it can be found that many spiky noise with amplitude of 10 times larger than real SNMR signal are removed. The decay shape of real SNMR signal are well restored.

Key words: surface nuclear magnetic resonance(SNMR), peak interference, standard deviation, median

CLC Number: 

  • TN911.72