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Detecting NQR signals severely polluted by interference

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)256-264
Number of pages9
Early online date31 Mar 2017
Publication statusE-pub ahead of print - 31 Mar 2017


King's Authors


Nuclear Quadrupole Resonance (NQR) signal detection can be severely obstructed by interference in real life settings, especially when the interference is strong, nonstationary, and its frequencies are close to that of the NQR signal. A novel algorithm is proposed to effectively remove (or reduce) interference components in the data and facilitate a valid detection of the NQR signal. The proposed method exhibits better performance compared to the previously proposed ETAML and FETAML algorithms, when applied to both simulated and measured data. Importantly, the present algorithm directly operates on the original primary data, without requiring any secondary data (NQR signal-free data) for acquiring prior knowledge of the interference.

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