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Volumn 19, Issue 5, 2008, Pages 914-918

Classification using wavelet packet decomposition and support vector machine for digital modulations

Author keywords

fuzzy density; modulation classification; modulus maxima matrix; support vector machine; wavelet packet transform

Indexed keywords

FUZZY DENSITY; MODULATION CLASSIFICATION; MODULUS MAXIMA MATRIX; SUPPORT VECTOR MACHINE; WAVELET PACKET TRANSFORM;

EID: 58649098792     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1004-4132(08)60174-7     Document Type: Article
Times cited : (24)

References (6)
  • 1
    • 0032045669 scopus 로고    scopus 로고
    • Algorithms for automatic modulation recognition of communication signals
    • Nandi K., and Azzouz E.E. Algorithms for automatic modulation recognition of communication signals. IEEE Trans. Communication 46 (1998) 431-436
    • (1998) IEEE Trans. Communication , vol.46 , pp. 431-436
    • Nandi, K.1    Azzouz, E.E.2
  • 2
    • 0029389763 scopus 로고
    • Recognition of analogue modulations
    • Nandi A.K., and Azzouz E.E. Recognition of analogue modulations. Signal Processing 46 2 (1995) 211-222
    • (1995) Signal Processing , vol.46 , Issue.2 , pp. 211-222
    • Nandi, A.K.1    Azzouz, E.E.2
  • 3
    • 0035373252 scopus 로고    scopus 로고
    • A method of modulation identification for communication signals based on fuzzy integral
    • Lü T., Guo S., and Xiao X. A method of modulation identification for communication signals based on fuzzy integral. ACTA Electronica Sinica 29 6 (2001)
    • (2001) ACTA Electronica Sinica , vol.29 , Issue.6
    • Lü, T.1    Guo, S.2    Xiao, X.3
  • 4
    • 33845543291 scopus 로고    scopus 로고
    • Support vector machine Techniques for nonlinear equalization
    • Daniel J.S., and James A.B. Support vector machine Techniques for nonlinear equalization. IEEE Trans. on Signal Processing 11 48 (2000) 3227-3271
    • (2000) IEEE Trans. on Signal Processing , vol.11 , Issue.48 , pp. 3227-3271
    • Daniel, J.S.1    James, A.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.