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Volumn 4062 LNAI, Issue , 2006, Pages 707-712

Intra-pulse modulation recognition of advanced radar emitter signals using intelligent recognition method

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; DATABASE SYSTEMS; FEATURE EXTRACTION; PULSE MODULATION; RADAR TRANSMITTERS; ROUGH SET THEORY; SIGNAL PROCESSING;

EID: 33746779407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_103     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
    • 9444264383 scopus 로고    scopus 로고
    • Radar emitter signal recognition based on resemblance coefficient features
    • Tsumoto,S., et al.,Eds., Springer, Berlin
    • Zhang, G.X., Rong, H.N., Jin, W.D., Hu, L.Z.: Radar emitter signal recognition based on resemblance coefficient features. In: Tsumoto,S., et al.,Eds., Lecture Notes in Artificial Intelligence. Springer, Berlin 3066 (2004) 665-670
    • (2004) Lecture Notes in Artificial Intelligence , vol.3066 , pp. 665-670
    • Zhang, G.X.1    Rong, H.N.2    Jin, W.D.3    Hu, L.Z.4
  • 2
    • 11244272827 scopus 로고    scopus 로고
    • Radar emitter recognition using intrapulse data
    • Warsaw
    • Kawalec, A., Owczarek, R.: Radar emitter recognition using intrapulse data. In: Proc. of 15th Int. Conf. on MRWC, Warsaw 2 (2004) 435-438
    • (2004) Proc. of 15th Int. Conf. on MRWC , vol.2 , pp. 435-438
    • Kawalec, A.1    Owczarek, R.2
  • 5
    • 26944433887 scopus 로고    scopus 로고
    • Discretization of continuous attributes in rough set theory and its application
    • Zhang,J., et al.,Eds., Springer, Berlin
    • Zhang, G.X., Jin,W.D., Hu,L.Z.: Discretization of continuous attributes in rough set theory and its application. In: Zhang,J., et al.,Eds., Lecture Notes in Computer Science. Springer, Berlin 3314 (2004) 1020-1026
    • (2004) Lecture Notes in Computer Science , vol.3314 , pp. 1020-1026
    • Zhang, G.X.1    Jin, W.D.2    Hu, L.Z.3
  • 6
    • 33745426638 scopus 로고    scopus 로고
    • Support vector machines with Huffman tree architecture for multiclass classification
    • Lazo,M., Sanfeliu,A., Eds.
    • Zhang, G.X.: Support vector machines with Huffman tree architecture for multiclass classification. In: Lazo,M., Sanfeliu,A., Eds., Lecture Notes in Computer Science. 3773 (2005) 24-33
    • (2005) Lecture Notes in Computer Science , vol.3773 , pp. 24-33
    • Zhang, G.X.1
  • 8
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise classification and support vector machines
    • Scholkopf,B., et al., Eds., MIT Press
    • Kreßel, U.: Pairwise classification and support vector machines. In: Scholkopf,B., et al., Eds., Advances in Kernel Methods-Support Vector Learning, MIT Press (1999) 185-208
    • (1999) Advances in Kernel Methods-support Vector Learning , pp. 185-208
    • Kreßel, U.1
  • 10
    • 0037279492 scopus 로고    scopus 로고
    • Content-based audio classification and retrieval by support vector machines
    • Guo, G.D., Li, S.Z.: Content-based audio classification and retrieval by support vector machines. IEEE Transactions on Neural Networks. 14 (2003) 209-215
    • (2003) IEEE Transactions on Neural Networks , vol.14 , pp. 209-215
    • Guo, G.D.1    Li, S.Z.2
  • 11
    • 0035781956 scopus 로고    scopus 로고
    • Mahalanobis distance-based classifiers are able to recognize EEG patterns by using few EEG electrodes
    • Istanbul
    • Babiloni, F., Bianchi, L., Semeraro, F., et al.: Mahalanobis distance-based classifiers are able to recognize EEG patterns by using few EEG electrodes. In: Proc. of the 23rd Annual Int. Conf. of EMBS, Istanbul (2001) 651-654
    • (2001) Proc. of the 23rd Annual Int. Conf. of EMBS , pp. 651-654
    • Babiloni, F.1    Bianchi, L.2    Semeraro, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.