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Volumn 2005, Issue , 2005, Pages 239-243

Fast algorithms for minor component analysis

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; ITERATIVE METHODS; SIGNAL PROCESSING; TRACKING (POSITION); VECTORS;

EID: 33947095040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ssp.2005.1628599     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 1
    • 84958482492 scopus 로고    scopus 로고
    • P. van Dooren M. Moonen and J. vandewalle, Updating singular value decompositions: A parallel implementations, in Proc. SPIE Adv. Algorithms Architectures Signal Processing, pp. 80-91, 1989.
    • P. van Dooren M. Moonen and J. vandewalle, "Updating singular value decompositions: A parallel implementations," in Proc. SPIE Adv. Algorithms Architectures Signal Processing, pp. 80-91, 1989.
  • 2
    • 0032288840 scopus 로고    scopus 로고
    • A new adaptative algorithm for minor component analysis
    • K. Shmizu H. Sakai, "A new adaptative algorithm for minor component analysis," Signal Processing 71, pp. 301-308, 1998.
    • (1998) Signal Processing , vol.71 , pp. 301-308
    • Shmizu, K.1    Sakai, H.2
  • 3
    • 0345627997 scopus 로고    scopus 로고
    • A unified algorithm for principal and minor components extraction
    • Aug
    • S.-I Amari T. Chen and Q. Lin, "A unified algorithm for principal and minor components extraction," Neural Networks, vol. 11, pp. 385-390, Aug. 1998.
    • (1998) Neural Networks , vol.11 , pp. 385-390
    • Amari, S.-I.1    Chen, T.2    Lin, Q.3
  • 4
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • Nov./Dec
    • E.Oja, "Principal components, minor components, and linear neural networks," Neural Networks, vol. 5, pp. 927-935, Nov./Dec. 1992.
    • (1992) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 5
    • 0001387410 scopus 로고
    • Principal components analysis by homogeneous neural networks- parti: Weighted subspace criterion
    • H. Ogawa E.Oja and J. Wangviwattan, "Principal components analysis by homogeneous neural networks- parti: Weighted subspace criterion," IEICE trans. Inform. Syst., vol. E75-D, no. 3, pp. 366-375, 1992.
    • (1992) IEICE trans. Inform. Syst , vol.E75-D , Issue.3 , pp. 366-375
    • Ogawa, H.1    Oja, E.2    Wangviwattan, J.3
  • 6
    • 0029276061 scopus 로고
    • The propagator method for source bearing estimation
    • Aug
    • A. Marsal S. Marcos and M. Benidir, "The propagator method for source bearing estimation," Signal Processing, vol. 42, pp. 121-138, Aug. 1989.
    • (1989) Signal Processing , vol.42 , pp. 121-138
    • Marsal, A.1    Marcos, S.2    Benidir, M.3
  • 8
    • 33748094925 scopus 로고    scopus 로고
    • Power techniques for blind channel estimation in wirless communication systems,
    • Phd thesis, pp, October
    • X. Doukopoulos, "Power techniques for blind channel estimation in wirless communication systems," Phd thesis, pp. 125-130, October 2004.
    • (2004) , pp. 125-130
    • Doukopoulos, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.