Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy, 1st ed. 2022
Signals and Communication Technology Series

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Language: English
Cover of the book Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy

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Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy
Publication date:
175 p. · 15.5x23.5 cm · Paperback

116.04 €

In Print (Delivery period: 15 days).

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Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy
Publication date:
175 p. · 15.5x23.5 cm · Hardback

This book is about improving prohibited substances detection using the nuclear quadrupole resonance (NQR) technique at security checkpoints. The book proposes multiple signal processing and analysis techniques for improving detection of dangerous or contraband substances, such as explosives, narcotics, or toxic substances. Also, several hardware solutions are described and implemented in a custom-designed NQR spectrometer. A new approach to NQR signal detection is introduced using artificial intelligence/deep learning techniques. The book will be useful for for researchers and practitioners in the areas of electrical engineering, signal processing and analysis, applied spectroscopy, as well as for security or laboratory equipment manufacturers.

Introduction.- Methods and equipment for signal acquisition and analysis for the detection of prohibited substances.- Nuclear quadrupole resonance spectroscopy.- Signal processing and analysis techniques applied in nuclear quadrupole resonance.- Modeling of signals used in nuclear quadrupole resonance spectroscopy.- Study of the NQR signal processing and analysis algorithms.- Analysis of nuclear quadrupole resonance response signals.- Development of signal analysis algorithms for NQR detection.- Solutions to improve NQR detection.- Implementation of a signal pre-processing, processing and analysis system for nuclear quadrupole resonance.
Cristian Monea received his B.E. degree in networks and software for telecommunications from the University of Pitesti, in 2013. He obtained his M.S. degree from the Politehnica University of Bucharest, in 2015, where he is currently pursuing his Ph.D. degree in electronics, telecommunications and information technology. Starting from 2013, he worked at Mira Telecom and Mira Technologies Group, Romania, developing hardware and software security solutions. He is currently involved in the development of a fixed and mobile nuclear quadrupole resonance security scanner, respectively, with the latter being awarded the Gold Medal at the International Exhibition of Inventions of Geneva 2017 and at the International Exhibition of Invention INNOVA 2017. His research interests include signal processing algorithms, machine learning and security detection systems. He was authored or co-authored of several papers (over 15) in journals (ISI/Clarivate Analytics Web of Knowledge or indexed databases; Hirsh index = 3) or international conferences proceedings. He has been involved in the following research projects: ABSOLUTE (Aerial Base Stations with Opportunistic Links for Unexpected & Temporary Events), DESMTEH (The use of nuclear quadruple resonance method to produce equipment for detection of drugs and explosives), SENSOREX (Development of a sensor for multiple and selective detection of some representative explosives), SmartVibes (Vibrations acquisition, monitoring, analysis and recognition system for protection of critical infrastructures), SmartSense (Real-time smart application for urban air quality management respecting the sensitive categories of population), QIT-MS (Development of quadrupole and multipole ion trap based mass spectrometers for optical characterization and chemical analysis of atmospheric aerosol particles), QUEST (Advanced air diffusion system of the crew quarters for the ISS and deep space habitation systems), Solutions-2020-2 (Solutions and systems

Reviews current nuclear quadrople resonance (NQR) techniques

Introduces new techniques

Analyses the subject across disciplines - from electrical engineering, signal processing to AI optimization