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
Keyword(s):  
Signal Processing ◽  
Least Squares ◽  
Learning Algorithm ◽  
Adaptive Signal Processing ◽  
Total Least Squares ◽  
Adaptive Signal

LOCALLY IMPLEMENTABLE MATRIX FLOWS AND THEIR APPLICATION TO NEURAL NETWORK LEARNING

1994 ◽  
Vol 04 (01) ◽  
pp. 23-51 ◽  
Author(s):  
JEROEN DEHAENE ◽  
JOOS VANDEWALLE
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Network Structure ◽  
Adaptive Signal Processing ◽  
External Signal ◽  
Neural Network Learning ◽  
Network Learning ◽  
Adaptive Signal

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.

Sign in / Sign up

Export Citation Format

Share Document