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Volumn 49, Issue 5, 2006, Pages 639-652

Sparse representation and blind source separation of ill-posed mixtures

Author keywords

Blind source separation; Ill posed mixture; K mean clustering; PCA; Sparse representation

Indexed keywords


EID: 33749495514     PISSN: 10092757     EISSN: 18622836     Source Type: Journal    
DOI: 10.1007/s11432-006-2020-8     Document Type: Article
Times cited : (39)

References (22)
  • 1
    • 0026155673 scopus 로고
    • Indeterminacy and identifiability of blind identification
    • Tong L, Liu R, Soon V C, et al. Indeterminacy and identifiability of blind identification. IEEE Trans Circuits and Systems, 1991, 38(5): 499-506
    • (1991) IEEE Trans Circuits and Systems , vol.38 , Issue.5 , pp. 499-506
    • Tong, L.1    Liu, R.2    Soon, V.C.3
  • 2
    • 0030107018 scopus 로고    scopus 로고
    • General approach to blind source separation
    • Cao X R, Liu RW. General approach to blind source separation. IEEE Trans Signal Processing, 1996, 44: 562-571
    • (1996) IEEE Trans Signal Processing , vol.44 , pp. 562-571
    • Cao, X.R.1    Liu, R.W.2
  • 3
    • 0001109258 scopus 로고    scopus 로고
    • Blind extraction of singularly mixed source signals
    • Li Y Q, Wang J. Blind extraction of singularly mixed source signals. IEEE Trans Signal Processing, 2000, 11: 1413-1422
    • (2000) IEEE Trans Signal Processing , vol.11 , pp. 1413-1422
    • Li, Y.Q.1    Wang, J.2
  • 4
    • 3442890995 scopus 로고    scopus 로고
    • Separability theory for blind signal separation
    • Zhang J L, Xie S L, He Z S. Separability theory for blind signal separation. Acta Automatica Sinica, 2004, 30(3): 337-344
    • (2004) Acta Automatica Sinica , vol.30 , Issue.3 , pp. 337-344
    • Zhang, J.L.1    Xie, S.L.2    He, Z.S.3
  • 5
    • 0032629347 scopus 로고    scopus 로고
    • A fast and robust fixed-point algorithms for independent component analysis
    • Hyvarinen A. A fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Networks, 1999, 10(3): 626-634
    • (1999) IEEE Trans Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvarinen, A.1
  • 6
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Comon P. Independent component analysis, a new concept? Signal Processing, 1992, 36(3): 287-314
    • (1992) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 7
    • 0024901094 scopus 로고
    • Source separation using higher order-moments
    • Glasgow, Scotland
    • Cardoso J F. Source separation using higher order-moments. In: Proc ICASSP89, Glasgow, Scotland. 1989, 4: 2109-2112
    • (1989) Proc ICASSP89 , vol.4 , pp. 2109-2112
    • Cardoso, J.F.1
  • 8
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • Bell A, Sejnowski T. An information maximization approach to blind separation and blind deconvolution. Neural Computation, 1995, 7: 1129-1159
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 9
    • 0000056917 scopus 로고    scopus 로고
    • Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information
    • Yang H H. Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information. Neural Computation, 1997, 9:1457-1482
    • (1997) Neural Computation , vol.9 , pp. 1457-1482
    • Yang, H.H.1
  • 11
    • 18144443197 scopus 로고    scopus 로고
    • An ICA and EC based approach for blind equalization and channel parameter estimation
    • He Z Y, Liu J, Yang L X. An ICA and EC based approach for blind equalization and channel parameter estimation. Sci China Ser E-Tech Sci, 2000,43(1): 1-8
    • (2000) Sci China ser E-tech Sci , vol.43 , Issue.1 , pp. 1-8
    • He, Z.Y.1    Liu, J.2    Yang, L.X.3
  • 12
    • 0033904495 scopus 로고    scopus 로고
    • Blind source separation using cluster-based multivariate density estimation algorithm
    • He Z Y, Yang L X, Liu J. Blind source separation using cluster-based multivariate density estimation algorithm. IEEE Trans Signal Processing, 2000, 48(2): 575-579
    • (2000) IEEE Trans Signal Processing , vol.48 , Issue.2 , pp. 575-579
    • He, Z.Y.1    Yang, L.X.2    Liu, J.3
  • 13
    • 7744225338 scopus 로고    scopus 로고
    • Blind signal separation based on learning in stages
    • Zhang X D, Zhu X L, Bao Z. Blind signal separation based on learning in stages. Sci China Ser F-Inf Sci, 2003, 46(1): 31-44
    • (2003) Sci China ser F-inf Sci , vol.46 , Issue.1 , pp. 31-44
    • Zhang, X.D.1    Zhu, X.L.2    Bao, Z.3
  • 14
    • 0035501128 scopus 로고    scopus 로고
    • Underdetermined blind source separation using sparse representations
    • Bofill P, Zibulevsky M. Underdetermined blind source separation using sparse representations, Signal Processing, 2001, 81(11): 2353-2362
    • (2001) Signal Processing , vol.81 , Issue.11 , pp. 2353-2362
    • Bofill, P.1    Zibulevsky, M.2
  • 15
    • 2442473143 scopus 로고    scopus 로고
    • Analysis of sparse representation and blind source separation
    • Li Y Q, Cichocki A, Amari S. Analysis of sparse representation and blind source separation. Neural Computation, 2004, 16:1193-1234
    • (2004) Neural Computation , vol.16 , pp. 1193-1234
    • Li, Y.Q.1    Cichocki, A.2    Amari, S.3
  • 16
    • 0000660321 scopus 로고    scopus 로고
    • Blind source separation by sparse decomposition in a signal dictionary
    • Zibulevsky M, Pearmuttcr B A. Blind source separation by sparse decomposition in a signal dictionary. Neural Computation, 2001, 13: 863-882
    • (2001) Neural Computation , vol.13 , pp. 863-882
    • Zibulevsky, M.1    Pearmuttcr, B.A.2
  • 17
    • 0041825387 scopus 로고    scopus 로고
    • Sparse separation: Principles and tricks
    • "Independent Component Analyses, Wavelets, and Neural Networks", Orlando, FL: SPIE Org.
    • Pearlmutter B A, Potluru V K. Sparse separation: Principles and tricks. In: Proc SPIE volume 5102, "Independent Component Analyses, Wavelets, and Neural Networks", Orlando, FL: SPIE Org., 2003. 1-4
    • (2003) Proc SPIE , vol.5102 , pp. 1-4
    • Pearlmutter, B.A.1    Potluru, V.K.2
  • 18
    • 0032624821 scopus 로고    scopus 로고
    • Blind source separation of more sources than mixtures using over-complete representations
    • Lee T W, Lewicki M S, Girolami M, et al. Blind source separation of more sources than mixtures using over-complete representations. IEEE Signal Process Lett, 1999, 6(4): 87-90
    • (1999) IEEE Signal Process Lett , vol.6 , Issue.4 , pp. 87-90
    • Lee, T.W.1    Lewicki, M.S.2    Girolami, M.3
  • 19
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • Lewiski M S, Sejnowski T J. Learning overcomplete representations. Neural Comput, 2000, 12(2): 337-365
    • (2000) Neural Comput , vol.12 , Issue.2 , pp. 337-365
    • Lewiski, M.S.1    Sejnowski, T.J.2
  • 20
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by VI?
    • Olshause B A N, Field D J. Sparse coding with an overcomplete basis set: a strategy employed by VI? Vision Res, 1997, 37:3311-3325
    • (1997) Vision Res , vol.37 , pp. 3311-3325
    • Olshause, B.A.N.1    Field, D.J.2
  • 21
    • 0003781539 scopus 로고    scopus 로고
    • Blind soure separation by sparse decomposition
    • University of New Mexico, Albuquerque, July
    • Zibulevsky M, Pearlmutter B A. Blind soure separation by sparse decomposition. Technicial Report No. CS99-1. University of New Mexico, Albuquerque, July 1999, http: www.cs.unm.edu/~bap/papers/sparse-ica99a.ps.gz
    • (1999) Technicial Report No. CS99-1 , vol.CS99-1
    • Zibulevsky, M.1    Pearlmutter, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.