Title : 
Techniques for classifying acoustic resonant spectra
         
        
            Author : 
Roberts, Randy S. ; Lewis, Paul S. ; Chen, JeromeT ; Vela, Octavio A.
         
        
            Author_Institution : 
Group-ESA-MT, Los Alamos Nat. Lab., NM, USA
         
        
        
        
            fDate : 
31 Oct-2 Nov 1994
         
        
        
            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
         
        
            Keywords : 
acoustic resonance; acoustic signal processing; feature extraction; military computing; military systems; pattern classification; ultrasonic materials testing; weapons; acoustic resonant spectra classification; chemical munitions; feature extraction; nondestructive evaluation system; second-generation NDE system; surrogate-filled munitions; system performance; template classification algorithms; template construction; template library; Acoustic measurements; Acoustic testing; Chemical hazards; Classification algorithms; Clustering algorithms; Feature extraction; Laboratories; Libraries; Resonance; Weapons;
         
        
        
        
            Conference_Titel : 
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
         
        
            Conference_Location : 
Pacific Grove, CA
         
        
        
            Print_ISBN : 
0-8186-6405-3
         
        
        
            DOI : 
10.1109/ACSSC.1994.471648