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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1195-1199
R.S. Roberts , Group-ESA-MT, Los Alamos Nat. Lab., NM, USA
P.S. Lewis , Group-ESA-MT, Los Alamos Nat. Lab., NM, USA
J.T. Chen , Group-ESA-MT, Los Alamos Nat. Lab., NM, USA
O.A. Vela , Group-ESA-MT, Los Alamos Nat. Lab., NM, USA
ABSTRACT
A second-generation nondestructive evaluation (NDE) system that discriminates between different types of chemical munitions is under development. The NDE system extracts features from the acoustic spectra of known munitions, builds templates from these features, and performs classification by comparing features extracted from an unknown munition to a template library. Improvements over first-generation feature extraction, template construction and classification algorithms are reported. Results are presented on the performance of the system on a large data set collected from surrogate-filled munitions.<>
INDEX TERMS
feature extraction, military systems, acoustic signal processing, acoustic resonance, pattern classification, weapons, ultrasonic materials testing, military computing
CITATION

R. Roberts, P. Lewis, J. Chen and O. Vela, "Techniques for classifying acoustic resonant spectra," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1195-1199.
doi:10.1109/ACSSC.1994.471648
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