Séparation de sources. Principes et algorithmes - Gretsi

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Algebraic tools Statistical tools Criteria Spatial whitening Tensors Decomposable tensor A dth order “decomposable” tensor is the tensor product of d vectors: T = u ⊗ v ⊗ . . . ⊗ w and has coordinates Tij...k = ui vj . . . wk. may be seen as a discretization of multivariate functions whose variables separate: t(x, y, . . . , z) = u(x) v(y) . . . w(z) P.Comon & C.Jutten, Peyresq July 2011 BSS II.Tools and optimization criteria 48
Algebraic tools Statistical tools Criteria Spatial whitening Tensors Decomposable tensor A dth order “decomposable” tensor is the tensor product of d vectors: T = u ⊗ v ⊗ . . . ⊗ w and has coordinates Tij...k = ui vj . . . wk. may be seen as a discretization of multivariate functions whose variables separate: t(x, y, . . . , z) = u(x) v(y) . . . w(z) Nothing else but rank-1 tensors, with forthcoming definition P.Comon & C.Jutten, Peyresq July 2011 BSS II.Tools and optimization criteria 48
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Algebraic tools Statistical tools C
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Principle Algebraic tools Statistic
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Introduction Colored Nonstationary
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Intro Dim2 Orthogonal Deflation Dis
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Global filter Intro Inversibility T
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Interest Intro Inversibility Time F
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Kronecker notation Intro Inversibil
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⎛ ⎜ ⎝ Intro Inversibility Tim
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Source separation Intro Inversibili
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Fourier domain ? Intro Inversibilit
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Identifiability ICA for NL Discussi
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Undeterminacy Identifiability ICA f
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Comments Identifiability ICA for NL
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Identifiability Identifiability ICA
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Problem Algorithms Biblio SCA Conte
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Problem Algorithms Biblio SCA nCF I
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Problem Algorithms Biblio SCA Dim.2
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Lemma Problem Algorithms Biblio SCA
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Example [CR06] Problem Algorithms B
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Problem Algorithms Biblio SCA Spars
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32 Introduction Titre sous-section
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Introduction NMF NTF Titre sous-sec
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Introduction NMF NTF NN ICA Algorit
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Introduction NMF NTF NN ICA Algorit
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Newton-like method Introduction NMF
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Noisy mixtures Introduction NMF NTF
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Bibliography XI. Bibliography I II
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[BCMT10] J. Brachat, P. Comon, B. M
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[Com95] P. Comon. Supervised classi
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[F´88] L. Féty. Méthodes de trai
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[LISC11] R. Llinares, J. Igual, A.
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[PAB + 02] M. Plumbley, S.A. Abdall
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[TF07] T. Tanaka and S. Fiori. Leas
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Séparation de sources. Principes et algorithmes - Gretsi

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