Title
On blind separation of convolutive mixtures of independent linear signals in unknown additive noise
Abstract
Blind separation of independent signals (sources) from their linear convolutive mixtures is considered. The various signals are assumed to be linear non-Gaussian but not necessarily i.i.d. First, an iterative, normalized higher order cumulant maximization-based approach is exploited using the third- and/or fourth-order normalized cumulants of the "beamformed" data. It provides a decomposition of t...
Year
DOI
Venue
1998
10.1109/78.726828
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Additive noise,MIMO,Blind source separation,Wiener filter,Finite impulse response filter,Transfer functions,Time domain analysis,Iterative methods,Array signal processing,Sampling methods
Wiener filter,Singular value decomposition,Impulse response,Signal processing,Iterative method,Control theory,Higher-order statistics,Finite impulse response,Blind signal separation,Mathematics
Journal
Volume
Issue
ISSN
46
11
1053-587X
Citations 
PageRank 
References 
10
1.01
9
Authors
1
Name
Order
Citations
PageRank
J. K. Tugnait148379.99