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Volumn IV, Issue , 2005, Pages

Regularized kernel-based wiener filtering. Application to magnetoencephalographic signals denoising

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; FEATURE EXTRACTION; MAGNETOENCEPHALOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL THEORY;

EID: 33646791555     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416002     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 5
    • 5844297152 scopus 로고
    • Theory of reproducing kernels
    • N. Aronszajn, "Theory of reproducing kernels," Trans. Amer. Math. Soc., vol. 68, pp. 337-404, 1950.
    • (1950) Trans. Amer. Math. Soc. , vol.68 , pp. 337-404
    • Aronszajn, N.1
  • 7
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer, "Functions of positive and negative type and their connection with the theory of integral equations," Philos. Trans. Roy. Soc. London, vol. A 209, pp. 415-446, 1909.
    • (1909) Philos. Trans. Roy. Soc. London , vol.A 209 , pp. 415-446
    • Mercer, J.1
  • 8
    • 0038259114 scopus 로고    scopus 로고
    • Classes of kernels for machine learning: A statistics perspective
    • May
    • M. G. Genton, "Classes of kernels for machine learning: A statistics perspective," Journal of Machine Learning Research, vol. 2, pp. 299-312, May 2002.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 299-312
    • Genton, M.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.