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| 003 | ES-MaUEC | ||
| 005 | 20230306174539.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 211011s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030878610 | ||
| 024 | 7 |
_a10.1007/978-3-030-87861-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQD96.N84 _b2022 EB |
|
| 100 | 1 |
_aMonea, Cristian _eautor _9687178 |
|
| 245 | 1 | 0 |
_aSignal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy _cby Cristian Monea, Nicu Bizon |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (XIX, 175 páginas) _b106 ilustraciones, 104 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSignals and Communication Technology _x1860-4870 |
|
| 505 | 0 | _aIntroduction -- 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 | _aThis 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. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9144220 _aEspectroscopia de resonancia magnética nuclear |
|
| 700 | 1 |
_9687179 _aBizon, Nicu _eautor |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030878603 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030878627 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030878634 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87861-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2023 _dz _eu _zSI |
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