Output details
11 - Computer Science and Informatics
King's College London
Article title
Robust Detection of Stochastic Nuclear Quadrupole Resonance Signals
Type
D - Journal article
Title of journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Article number
-
Volume number
56
Issue number
9
First page of article
4221
ISSN of journal
1053-587X
Year of publication
2008
URL
-
Number of additional authors
5
Additional information
<02>A fundamentally new approach enhancing the detection of nuclear quadrupole resonance (NQR) signals within explosives, narcotics and pharmaceuticals exploiting novel NQR echo models. The work represents the foundation for advanced research integrating intelligent processing and classification methods with radio frequency spectroscopy techniques and has received competitive funding from numerous agencies including Wellcome Trust (Maquette), EU (CONPHIRMER), Home Office (CONTEST Project) and dstl. The NQR techniques and associated signal processing methods have been adopted by industry, including Stelar, Italy (Ferrante, Gianni) and Bagtronics, UK (Rayner, Tim).
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Centre for Robotics Research
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
