메뉴 건너뛰기




Volumn 85, Issue 12, 2005, Pages 2338-2353

Multidimensional filtering based on a tensor approach

Author keywords

HOSVD; LRTA; Multidimensional Wiener filtering; Multilinear algebra; Multiway arrays; Subspace method; Tensor; Tucker3 decomposition

Indexed keywords

ALGORITHMS; DATA REDUCTION; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; TENSORS;

EID: 27744544315     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2004.11.029     Document Type: Article
Times cited : (116)

References (18)
  • 1
    • 0009948681 scopus 로고    scopus 로고
    • Tensor decompositions, state of the art and applications
    • Warwick, UK, December 18-20
    • P. Comon, Tensor decompositions, state of the art and applications, in: IMA Conference Mathematics in Signal Processing, Warwick, UK, December 18-20, 2000.
    • (2000) IMA Conference Mathematics in Signal Processing
    • Comon, P.1
  • 2
    • 0013953617 scopus 로고
    • Some mathematical notes on three-mode factor analysis
    • L.R. Tucker Some mathematical notes on three-mode factor analysis Psychometrika 31 1966 279 311
    • (1966) Psychometrika , vol.31 , pp. 279-311
    • Tucker, L.R.1
  • 6
  • 11
    • 0036018642 scopus 로고    scopus 로고
    • On the best rank-1 approximation of higher-order supersymmetric tensors
    • E. Kofidis, and P.A. Regalia On the best rank-1 approximation of higher-order supersymmetric tensors SIAM J. Matrix Anal. Appl. 23 3 March 2002 863 884
    • (2002) SIAM J. Matrix Anal. Appl. , vol.23 , Issue.3 , pp. 863-884
    • Kofidis, E.1    Regalia, P.A.2
  • 12
    • 0002332422 scopus 로고
    • Principal component analysis of three-mode data by means of alternating least squares algorithms
    • P.M. Kroonenberg, and J. De Leeuw Principal component analysis of three-mode data by means of alternating least squares algorithms Psychometrika 45 1 March 1980 69 97
    • (1980) Psychometrika , vol.45 , Issue.1 , pp. 69-97
    • Kroonenberg, P.M.1    De Leeuw, J.2
  • 13
    • 0036056838 scopus 로고    scopus 로고
    • Rank-one approximation to high order tensor
    • T. Zhang, and G.H. Golub Rank-one approximation to high order tensor SIAM J. Matrix Anal. Appl. 23 2 November 2001 534 550
    • (2001) SIAM J. Matrix Anal. Appl. , vol.23 , Issue.2 , pp. 534-550
    • Zhang, T.1    Golub, G.H.2
  • 14
    • 84947585577 scopus 로고    scopus 로고
    • Multidimensional estimation based on a tensor decomposition
    • St Louis, Missouri, USA, September 28-October 1
    • D. Muti, S. Bourennane, Multidimensional estimation based on a tensor decomposition, in: IEEE Workshop on Statistical Signal Processing, St Louis, Missouri, USA, September 28-October 1, 2003.
    • (2003) IEEE Workshop on Statistical Signal Processing
    • Muti, D.1    Bourennane, S.2
  • 16
    • 0036055687 scopus 로고    scopus 로고
    • Orthogonal tensor decomposition
    • T.G. Kolda Orthogonal tensor decomposition SIAM J. Matrix Anal. Appl. 23 1 March 2001 243 255
    • (2001) SIAM J. Matrix Anal. Appl. , vol.23 , Issue.1 , pp. 243-255
    • Kolda, T.G.1
  • 17
    • 0002883410 scopus 로고
    • Higher-order power method, application in independent component analysis
    • Las Vegas, 10-14 December
    • L. De Lathauwer, P. Comon, B. De Moor, Vandewalle, Higher-order power method, application in independent component analysis, in: NOLTA Conference, vol. 1, Las Vegas, 10-14 December 1995, pp. 91-96.
    • (1995) NOLTA Conference , vol.1 , pp. 91-96
    • De Lathauwer, L.1    Comon, P.2    De Moor, B.3    Vandewalle4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.