Title
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise
Abstract
We study the natural gradient approach to blind separation of overdetermined mixtures. First we introduce a Lie group on the manifold of overdetermined mixtures, and endow a Riemannian metric on the manifold based on the property of the Lie group. Then we derive the natural gradient on the manifold using the isometry of the Riemannian metric. Using the natural gradient, we present a new learning a...
Year
DOI
Venue
1999
10.1109/97.796292
IEEE Signal Processing Letters
Keywords
Field
DocType
Additive noise,Signal processing algorithms,Vectors,Minimization methods,Mutual information,Image enhancement,Biomedical signal processing,Standards development,Biosensors,Blind source separation
Information theory,Information geometry,Lie group,Overdetermined system,Mathematical optimization,Algorithm,Isometry,Minimisation (psychology),Mutual information,Manifold,Mathematics
Journal
Volume
Issue
ISSN
6
11
1070-9908
Citations 
PageRank 
References 
28
1.62
5
Authors
3
Name
Order
Citations
PageRank
Liqing Zhang12713181.40
A. Cichocki251840.68
Shun-ichi Amari3483.02