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Energy Detection Based on Undecimated Discrete Wavelet Transform and Its Application in Magnetic Anomaly Detection

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  • Xinhua Nie
  • Zhongming Pan
  • Dasha Zhang
  • Han Zhou
  • Min Chen
  • Wenna Zhang

Abstract

Magnetic anomaly detection (MAD) is a passive approach for detection of a ferromagnetic target, and its performance is often limited by external noises. In consideration of one major noise source is the fractal noise (or called 1/f noise) with a power spectral density of 1/fa (0

Suggested Citation

  • Xinhua Nie & Zhongming Pan & Dasha Zhang & Han Zhou & Min Chen & Wenna Zhang, 2014. "Energy Detection Based on Undecimated Discrete Wavelet Transform and Its Application in Magnetic Anomaly Detection," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-7, October.
    • Handle: RePEc:plo:pone00:0110829
    DOI: 10.1371/journal.pone.0110829
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    References listed on IDEAS

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    1. Vincent A Emanuele II & Gitika Panicker & Brian M Gurbaxani & Jin-Mann S Lin & Elizabeth R Unger, 2012. "Sensitive and Specific Peak Detection for SELDI-TOF Mass Spectrometry Using a Wavelet/Neural-Network Based Approach," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-10, November.
    2. Peter Bankhead & C Norman Scholfield & J Graham McGeown & Tim M Curtis, 2012. "Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-12, March.
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