Multichannel lattice filter for an adaptive array processor with linear constraints

Author(s):  
D. Youn ◽  
B. Chang
2004 ◽  
Vol 43 (35) ◽  
pp. 6421 ◽  
Author(s):  
Paulo E. X. Silveira ◽  
Gour S. Pati ◽  
Kelvin H. Wagner

1993 ◽  
Vol 76 (11) ◽  
pp. 95-104
Author(s):  
Manabu Ohmiya ◽  
Tatsuya Kawabata ◽  
Yasutaka Ogawa ◽  
Kiyohiko Itoh

1990 ◽  
Vol 2 (1) ◽  
pp. 116-126 ◽  
Author(s):  
Sophocles J. Orfanidis

A new type of feedforward multilayer neural net is proposed that exhibits fast convergence properties. It is defined by inserting a fast adaptive Gram-Schmidt preprocessor at each layer, followed by a conventional linear combiner-sigmoid part which is adapted by a fast version of the backpropagation rule. The resulting network structure is the multilayer generalization of the gradient adaptive lattice filter and the Gram-Schmidt adaptive array.


1983 ◽  
Vol 18 (2) ◽  
pp. 147-156 ◽  
Author(s):  
T. Kondo ◽  
T. Nakashima ◽  
M. Aoki ◽  
T. Sudo

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