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Volumn 5, Issue , 2004, Pages

A Bayesian method for positive source separation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; GAUSSIAN NOISE (ELECTRONIC); LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBLEM SOLVING; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; VECTORS;

EID: 4544308199     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (7)
  • 1
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • J. F. Cardoso, "Blind signal separation: statistical principles," Proceedings of the IEEE, vol. 9, no. 10, pp. 2009-2025, 1998.
    • (1998) Proceedings of the IEEE , vol.9 , Issue.10 , pp. 2009-2025
    • Cardoso, J.F.1
  • 4
    • 0038460232 scopus 로고    scopus 로고
    • Algorithms for non-negative independent component analysis
    • M. D. Plumbley, "Algorithms for non-negative independent component analysis," IEEE Transactions on Neural Networks, vol. 14, no. 3, pp. 534-543, 2003.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.3 , pp. 534-543
    • Plumbley, M.D.1
  • 5
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 6
    • 0027414595 scopus 로고
    • Simultaneous analysis of several spectroscopic titrations with self-modelling curve resolution
    • R. Tauler, A. Izquierdo-Ridorsa, and E. Casassas, "Simultaneous analysis of several spectroscopic titrations with self-modelling curve resolution," Chemometrics and Intelligent Laboratory Systems, vol. 18, no. 3, pp. 293-300, 1993.
    • (1993) Chemometrics and Intelligent Laboratory Systems , vol.18 , Issue.3 , pp. 293-300
    • Tauler, R.1    Izquierdo-Ridorsa, A.2    Casassas, E.3
  • 7
    • 0028561099 scopus 로고
    • Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
    • P. Paatero and U. Tapper, "Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values," Environmetrics, vol. 5, pp. 111-126, 1994.
    • (1994) Environmetrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.