Relative gradient based algorithms for general joint diagonalization of complex matrices

DOI10.1007/S11045-015-0328-5zbMath1370.65022OpenAlexW2071769200MaRDI QIDQ2014178

Eric Moreau, Tual Trainini

Publication date: 10 August 2017

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-015-0328-5

zbMATH Keywords

numerical examplesblind source separationindependent component analysisgradient algorithmjoint diagonalizationcomplex symmetric matrices

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Canonical forms, reductions, classification (15A21)

Cites Work

• Independent component analysis, a new concept?
• Array processing using joint diagonalization
• Convergence of conjugate gradient methods with a closed-form stepsize formula
• A new gradient method with an optimal stepsize property
• Complex random vectors and ICA models: identifiability, uniqueness, and separability
• HIGH-ORDER CONTRASTS FOR SELF-ADAPTIVE SOURCE SEPARATION

This page was built for publication: Relative gradient based algorithms for general joint diagonalization of complex matrices