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Volumn 36, Issue 7, 2003, Pages 1449-1466

Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification

Author keywords

Aspect independent target features; Electromagnetic target classification; Energy distribution patterns; Feature extraction; Natural resonance mechanisms; Time frequency representations; Wigner distribution

Indexed keywords

ASPECT RATIO; ELECTROMAGNETIC WAVE SCATTERING; PROBLEM SOLVING; RESONANCE; SENSITIVITY ANALYSIS; SIGNAL PROCESSING;

EID: 0037411351     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(02)00290-X     Document Type: Article
Times cited : (17)

References (13)
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    • The singularity expansion method and its application to target identification
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    • Baum, C.E.1    Rothwell, E.J.2    Chen, K.M.3
  • 7
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    • Input signal shaping for target identification using genetic algorithms
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    • Turhan-Sayan, G.1    Leblebicioglu, K.2    Inan, S.3
  • 8
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    • Electromagnetic target classification using time-frequency analysis and neural networks
    • G. Turhan-Sayan, K. Leblebicioglu, T. Ince, Electromagnetic target classification using time-frequency analysis and neural networks. Microwave Opt. Tech. Lett. 21 (1) (1999) 63-69.
    • (1999) Microwave Opt. Tech. Lett. , vol.21 , Issue.1 , pp. 63-69
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    • Linear and quadratic time-frequency signal representations
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    • Pole estimation for arbitrarily-shaped dielectric targets using genetic algorithm-based resonance annihilation technique
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    • Turhan-Sayan, G.1    Kuzuoglu, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.