Signal Processing and Analysis Methods in Nuclear Quadrupole Resonance Spectroscopy

Cristian Monea

Abstract


The purpose of this paper is to review the signal processing and analysis methods applied in nuclear quadrupole resonance (NQR) spectroscopy. NQR is a radio frequency spectroscopic technique used for detecting solid state compounds containing quadrupolar nuclei, in applications ranging from chemical analysis to explosive and drugs detection. This paper presents the principle of NQR, its applications, the detection methods and an overview of the research done in the field of signal processing and analysis using this technique. Different solutions are described, starting from the techniques developed initially up to state-of-the-art detection algorithms. These are presented in chronological order, also discussing their principles, advantages and disadvantages. This paper proposes several directions for future research and suggests machine learning as a next step in NQR signal analysis.


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