Learning algorithm for total least-squares adaptive signal processing

1992 ◽  
Vol 28 (4) ◽  
pp. 430 ◽  
Author(s):  
K. Gao ◽  
M.O. Ahmad ◽  
M.N.S. Swamy
1994 ◽  
Vol 04 (01) ◽  
pp. 23-51 ◽  
Author(s):  
JEROEN DEHAENE ◽  
JOOS VANDEWALLE

A number of matrix flows, based on isospectral and isodirectional flows, is studied and modified for the purpose of local implementability on a network structure. The flows converge to matrices with a predefined spectrum and eigenvectors which are determined by an external signal. The flows can be useful for adaptive signal processing applications and are applied to neural network learning.


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