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Signal processing and analysis techniques for nuclear quadrupole resonance spectroscopy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Signal processing and analysis techniques for nuclear quadrupole resonance spectroscopyby Cristian Monea, Nicu Bizon.
作者:	Monea, Cristian.
其他作者:	Bizon, Nicu.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xix, 175 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Nuclear quadrupole resonance spectroscopy.
電子資源:	https://doi.org/10.1007/978-3-030-87861-0
ISBN:	9783030878610$q(electronic bk.)

Signal processing and analysis techniques for nuclear quadrupole resonance spectroscopy
Monea, Cristian.

Signal processing and analysis techniques for nuclear quadrupole resonance spectroscopy[electronic resource] /by Cristian Monea, Nicu Bizon. - Cham :Springer International Publishing :2022. - xix, 175 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

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.

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.

ISBN: 9783030878610$q(electronic bk.)

Standard No.: 10.1007/978-3-030-87861-0doiSubjects--Topical Terms:

917545
Nuclear quadrupole resonance spectroscopy.

LC Class. No.: QD96.N84 / M65 2022

Dewey Class. No.: 538.362

Signal processing and analysis techniques for nuclear quadrupole resonance spectroscopy
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505 0 $a 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.
520 $a 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.
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