Blind source separation via the second characteristic function.

DOI10.1016/S0165-1684(00)00062-1zbMath1038.94513MaRDI QIDQ1566800

Arie Yeredor

Publication date: 4 June 2000

Published in: Signal Processing (Search for Journal in Brave)

zbMATH Keywords

Joint diagonalizationCharacteristic functionBlind source separation (BSS)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Canonical forms, reductions, classification (15A21) Communication theory (94A05)

Related Items (10)

A promising technique for blind identification: the generic statistics ⋮ A New Concept for Separability Problems in Blind Source Separation ⋮ Uniqueness of linear factorizations into independent subspaces ⋮ A Note on Stone's Conjecture of Blind Signal Separation ⋮ Solving the Problem of Simultaneous Diagonalization of Complex Symmetric Matrices via Congruence ⋮ ``Weighting for more: enhancing characteristic-function based ICA with asymptotically optimal weighting ⋮ On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation ⋮ Blind separation of noncircular sources via approximate joint diagonalization of augmented charrelation matrices ⋮ Provable ICA with unknown Gaussian noise, and implications for Gaussian mixtures and autoencoders ⋮ A Matrix Polynomial Spectral Approach for General Joint Block Diagonalization

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