Joint blind source separation by generalized joint diagonalization of cumulant matrices

DOI10.1016/j.sigpro.2011.04.016zbMath1219.94037OpenAlexW2074709877MaRDI QIDQ635056

Juan-Miguel Gracia

Publication date: 19 August 2011

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.04.016

zbMATH Keywords

canonical correlation analysis (CCA)cumulant matrixgeneralized joint diagonalizationindependent vector analysis (IVA)joint blind source separation (JBSS)multiset CCA (MCCA)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-$(L_r,n,L_r,n,1)$ Terms---Part I: Uniqueness

Uses Software

• FastICA
• Daisy

Cites Work

• Unnamed Item
• Fast fixed-point independent vector analysis algorithms for convolutive blind source separation
• Independent component analysis, a new concept?
• Extraction of Specific Signals with Temporal Structure
• Nonorthogonal Joint Diagonalization Free of Degenerate Solution
• Joint Blind Source Separation by Multiset Canonical Correlation Analysis
• Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation
• Canonical analysis of several sets of variables
• RELATIONS BETWEEN TWO SETS OF VARIATES

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