Adaptive noise cancelling of multichannel magnetic resonance sounding signals

E. Dalgaard, E. Auken, J. J. Larsen

Research output: Contribution to journalArticleResearchpeer-review

110 Citations (Scopus)

Abstract

Adaptive noise cancelling of multichannel magnetic resonance sounding (MRS) signals is investigated. An analysis of the noise sources affecting MRS signals show that the applicability of adaptive noise cancelling is primarily limited to cancel powerline harmonics. The problems of handling spikes in MRS signals are discussed and an efficient algorithm for spike detection is presented. The optimum parameters for multichannel adaptive noise cancelling are identified through simulations with synthetic signals added to noise-only recordings from an MRS instrument. We discuss the design and the efficiency of different stacking methods. The results from multichannel adaptive noise cancelling are compared to time-domain multichannel Wiener filtering. Our results show that within the experimental uncertainty the two methods give identical results.

Original languageEnglish
Pages (from-to)88-100
Number of pages13
JournalGeophysical Journal International
Volume191
Issue number1
DOIs
Publication statusPublished - Oct 2012
Externally publishedYes

Keywords

  • Fourier analysis
  • Hydrogeophysics Magnetic field
  • Instrumental noise
  • Time-series analysis

Programme Area

  • Programme Area 2: Water Resources

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