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Volumn 86, Issue 1, 2006, Pages 153-170

A new method of detection of coded signals in additive chaos on the example of Barker code

Author keywords

Dynamic modelling; Neural networks; Signal classification; Signal detection

Indexed keywords

CHAOS THEORY; CODES (SYMBOLS); DECISION MAKING; EMBEDDED SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SIGNAL DETECTION; SIGNAL TO NOISE RATIO;

EID: 27944434973     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2005.02.022     Document Type: Article
Times cited : (10)

References (14)
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  • 3
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    • Haykin, S.1    Puthusserypady, S.2
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    • R.C. Hilborn, Chaos and Nonlinear Dynamics, An Introduction for Scientists and Engineers, Oxford University Press, Oxford, 2000, pp. 3-68 (Chapters 1-2), pp. 71-156 (Chapters 3-4), pp. 319-374 (Chapter 9).
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    • Hilborn, R.C.1
  • 5
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    • Cambridge University Press, New York (Chapter 1), pp. 71-167 (Chapters 3-4)
    • E. Ott, Chaos in Dynamical Systems, Cambridge University Press, New York, 1993, pp. 1-23 (Chapter 1), pp. 71-167 (Chapters 3-4).
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    • Springer, New York (Chapters 11-12)
    • H. Peitgen, et al., Chaos and Fractals, Springer, New York, 1992, pp. 585-768 (Chapters 11-12).
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    • Unconvering nonlinear dynamics-the case study ofsea clutter
    • May
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    • (2002) Proc. IEEE , vol.90 , Issue.5 , pp. 860-881
    • Haykin, S.1    Bakker, R.2    Currie, B.W.3
  • 11
    • 0031034197 scopus 로고    scopus 로고
    • Predictive modular neural networks for time series classification
    • A. Kehagias, and V. Petridis Predictive modular neural networks for time series classification Neural Networks 10 1 January 1997 31 49
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.