Normalized natural gradient in independent component analysis

DOI10.1016/j.sigpro.2010.03.015zbMath1194.94143OpenAlexW2091063949MaRDI QIDQ985674

Ying Tang, Jian-ping Li

Publication date: 6 August 2010

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.03.015

zbMATH Keywords

matrix exponentialindependent component analysis (ICA)fully multiplicative iterationnormalized natural gradient

Mathematics Subject Classification ID

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

Related Items (1)

A natural gradient descent algorithm for the solution of discrete algebraic Lyapunov equations based on the geodesic distance

Uses Software

• MATLAB expm
• ICALAB

Cites Work

• MATLAB expm
• A novel adaptive learning rate sequential blind source separation algorithm
• Stability analysis of natural gradient learning rules in overdetermined ICA
• Geometrical structures of FIR manifold and multichannel blind deconvolution
• Contravariant adaptation on structured matrix spaces
• Differential-geometrical methods in statistics
• A Survey on Methods for Computing Matrix Exponentials in Numerical Schemes for ODEs
• How Can We Speed Up Matrix Multiplication?
• Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later
• Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC
• The Scaling and Squaring Method for the Matrix Exponential Revisited

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